Variable configure`Const`

configure: {
 dataType: {
 BLOB: "blob";
 BOOLEAN: "boolean";
 BOOLEAN_ARRAY: "boolean[]";
 DATE: "date";
 DATE_ARRAY: "date[]";
 GEO_COORDINATES: "geoCoordinates";
 INT: "int";
 INT_ARRAY: "int[]";
 NUMBER: "number";
 NUMBER_ARRAY: "number[]";
 OBJECT: "object";
 OBJECT_ARRAY: "object[]";
 PHONE_NUMBER: "phoneNumber";
 TEXT: "text";
 TEXT_ARRAY: "text[]";
 UUID: "uuid";
 UUID_ARRAY: "uuid[]";
 };
 generative: {
 azureOpenAI: ((config) => ModuleConfig<"generative-openai", GenerativeAzureOpenAIConfig>);
 cohere: ((config?) => ModuleConfig<"generative-cohere", undefined | GenerativeCohereConfig>);
 databricks: ((config) => ModuleConfig<"generative-databricks", GenerativeDatabricksConfig>);
 google: ((config?) => ModuleConfig<"generative-google", undefined | GenerativeGoogleConfig>);
 openAI: ((config?) => ModuleConfig<"generative-openai", undefined | GenerativeOpenAIConfig>);
 palm: ((config?) => ModuleConfig<"generative-palm", undefined | GenerativeGoogleConfig>);
 xai: ((config?) => ModuleConfig<"generative-xai", undefined | GenerativeXAIConfig>);
 anthropic(config?): ModuleConfig<"generative-anthropic", undefined | GenerativeAnthropicConfig>;
 anyscale(config?): ModuleConfig<"generative-anyscale", undefined | GenerativeAnyscaleConfig>;
 aws(config): ModuleConfig<"generative-aws", GenerativeAWSConfig>;
 friendliai(config?): ModuleConfig<"generative-friendliai", undefined | GenerativeFriendliAIConfig>;
 mistral(config?): ModuleConfig<"generative-mistral", undefined | GenerativeMistralConfig>;
 nvidia(config?): ModuleConfig<"generative-nvidia", undefined | GenerativeNvidiaConfig>;
 ollama(config?): ModuleConfig<"generative-ollama", undefined | GenerativeOllamaConfig>;
 };
 invertedIndex: ((options) => {
 bm25?: {
 b?: number;
 k1?: number;
 };
 cleanupIntervalSeconds?: number;
 indexNullState?: boolean;
 indexPropertyLength?: boolean;
 indexTimestamps?: boolean;
 stopwords?: {
 additions?: (undefined | string)[];
 preset?: string;
 removals?: (undefined | string)[];
 };
 });
 multiTenancy: ((options?) => {
 autoTenantActivation?: boolean;
 autoTenantCreation?: boolean;
 enabled?: boolean;
 });
 multiVectors: {
 multi2VecJinaAI: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2multivec-jinaai">);
 selfProvided: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "none">);
 text2VecJinaAI: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2multivec-jinaai">);
 };
 replication: ((options) => {
 asyncEnabled?: boolean;
 deletionStrategy?: ReplicationDeletionStrategy;
 factor?: number;
 });
 reranker: {
 cohere: ((config?) => ModuleConfig<"reranker-cohere", undefined | RerankerCohereConfig>);
 jinaai: ((config?) => ModuleConfig<"reranker-jinaai", undefined | RerankerJinaAIConfig>);
 nvidia: ((config?) => ModuleConfig<"reranker-nvidia", undefined | RerankerNvidiaConfig>);
 transformers: (() => ModuleConfig<"reranker-transformers", Record<string, never>>);
 voyageAI: ((config?) => ModuleConfig<"reranker-voyageai", undefined | RerankerVoyageAIConfig>);
 };
 sharding: ((options) => ShardingConfigCreate);
 tokenization: {
 FIELD: "field";
 GSE: "gse";
 KAGOME_KR: "kagome_kr";
 LOWERCASE: "lowercase";
 TRIGRAM: "trigram";
 WHITESPACE: "whitespace";
 WORD: "word";
 };
 vectorDistances: {
 COSINE: "cosine";
 DOT: "dot";
 HAMMING: "hamming";
 L2_SQUARED: "l2-squared";
 };
 vectorIndex: {
 dynamic: ((opts?) => ModuleConfig<"dynamic", undefined | VectorIndexConfigDynamicCreate>);
 flat: ((opts?) => ModuleConfig<"flat", undefined | VectorIndexConfigFlatCreate>);
 hnsw: ((opts?) => ModuleConfig<"hnsw", undefined | VectorIndexConfigHNSWCreate>);
 multiVector: {
 encoding: {
 muvera: ((options?) => {
 dprojections?: number;
 ksim?: number;
 repetitions?: number;
 type?: "muvera";
 });
 };
 multiVector: ((options?) => MultiVectorConfigCreate);
 };
 quantizer: {
 bq: ((options?) => QuantizerRecursivePartial<BQConfig>);
 none: (() => UncompressedConfig);
 pq: ((options?) => QuantizerRecursivePartial<PQConfig>);
 rq: ((options?) => QuantizerRecursivePartial<RQConfig>);
 sq: ((options?) => QuantizerRecursivePartial<SQConfig>);
 };
 };
 vectorizer: {
 img2VecNeural: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "img2vec-neural">);
 multi2VecBind: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-bind">);
 multi2VecClip: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-clip">);
 multi2VecCohere: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-cohere">);
 multi2VecGoogle: (<N, I>(opts) => VectorConfigCreate<never, N, I, "multi2vec-google">);
 multi2VecJinaAI: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-jinaai">);
 multi2VecPalm: (<N, I>(opts) => VectorConfigCreate<never, N, I, "multi2vec-palm">);
 multi2VecVoyageAI: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-voyageai">);
 none: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "none">);
 ref2VecCentroid: (<N, I>(opts) => VectorConfigCreate<never, N, I, "ref2vec-centroid">);
 selfProvided: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "none">);
 text2VecAWS: (<T, N, I>(opts) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-aws">);
 text2VecAzureOpenAI: (<T, N, I>(opts) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-azure-openai">);
 text2VecCohere: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-cohere">);
 text2VecContextionary: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-contextionary">);
 text2VecDatabricks: (<T, N, I>(opts) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-databricks">);
 text2VecGPT4All: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-gpt4all">);
 text2VecGoogle: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-google">);
 text2VecHuggingFace: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-huggingface">);
 text2VecJinaAI: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-jinaai">);
 text2VecMistral: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-mistral">);
 text2VecModel2Vec: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-model2vec">);
 text2VecNvidia: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-nvidia">);
 text2VecOllama: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-ollama">);
 text2VecOpenAI: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-openai">);
 text2VecPalm: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-palm">);
 text2VecTransformers: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-transformers">);
 text2VecVoyageAI: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-voyageai">);
 text2VecWeaviate: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-weaviate">);
 };
 vectors: {
 img2VecNeural: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "img2vec-neural">);
 multi2VecBind: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-bind">);
 multi2VecClip: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-clip">);
 multi2VecCohere: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-cohere">);
 multi2VecGoogle: (<N, I>(opts) => VectorConfigCreate<never, N, I, "multi2vec-google">);
 multi2VecJinaAI: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-jinaai">);
 multi2VecNvidia: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-nvidia">);
 multi2VecVoyageAI: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-voyageai">);
 none: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "none">);
 ref2VecCentroid: (<N, I>(opts) => VectorConfigCreate<never, N, I, "ref2vec-centroid">);
 selfProvided: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "none">);
 text2VecAWS: (<T, N, I>(opts) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-aws">);
 text2VecAzureOpenAI: (<T, N, I>(opts) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-azure-openai">);
 text2VecCohere: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-cohere">);
 text2VecContextionary: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-contextionary">);
 text2VecDatabricks: (<T, N, I>(opts) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-databricks">);
 text2VecGPT4All: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-gpt4all">);
 text2VecGoogle: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-google">);
 text2VecGoogleAiStudio: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-google">);
 text2VecHuggingFace: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-huggingface">);
 text2VecJinaAI: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-jinaai">);
 text2VecMistral: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-mistral">);
 text2VecModel2Vec: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-model2vec">);
 text2VecMorph: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-morph">);
 text2VecNvidia: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-nvidia">);
 text2VecOllama: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-ollama">);
 text2VecOpenAI: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-openai">);
 text2VecTransformers: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-transformers">);
 text2VecVoyageAI: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-voyageai">);
 text2VecWeaviate: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-weaviate">);
 };
} = ...

Type declaration

dataType: {
    BLOB: "blob";
    BOOLEAN: "boolean";
    BOOLEAN_ARRAY: "boolean[]";
    DATE: "date";
    DATE_ARRAY: "date[]";
    GEO_COORDINATES: "geoCoordinates";
    INT: "int";
    INT_ARRAY: "int[]";
    NUMBER: "number";
    NUMBER_ARRAY: "number[]";
    OBJECT: "object";
    OBJECT_ARRAY: "object[]";
    PHONE_NUMBER: "phoneNumber";
    TEXT: "text";
    TEXT_ARRAY: "text[]";
    UUID: "uuid";
    UUID_ARRAY: "uuid[]";
}
- BLOB: "blob"
- BOOLEAN: "boolean"
- BOOLEAN_ARRAY: "boolean[]"
- DATE: "date"
- DATE_ARRAY: "date[]"
- GEO_COORDINATES: "geoCoordinates"
- INT: "int"
- INT_ARRAY: "int[]"
- NUMBER: "number"
- NUMBER_ARRAY: "number[]"
- OBJECT: "object"
- OBJECT_ARRAY: "object[]"
- PHONE_NUMBER: "phoneNumber"
- TEXT: "text"
- TEXT_ARRAY: "text[]"
- UUID: "uuid"
- UUID_ARRAY: "uuid[]"
generative: {
 azureOpenAI: ((config) => ModuleConfig<"generative-openai", GenerativeAzureOpenAIConfig>);
 cohere: ((config?) => ModuleConfig<"generative-cohere", undefined | GenerativeCohereConfig>);
 databricks: ((config) => ModuleConfig<"generative-databricks", GenerativeDatabricksConfig>);
 google: ((config?) => ModuleConfig<"generative-google", undefined | GenerativeGoogleConfig>);
 openAI: ((config?) => ModuleConfig<"generative-openai", undefined | GenerativeOpenAIConfig>);
 palm: ((config?) => ModuleConfig<"generative-palm", undefined | GenerativeGoogleConfig>);
 xai: ((config?) => ModuleConfig<"generative-xai", undefined | GenerativeXAIConfig>);
 anthropic(config?): ModuleConfig<"generative-anthropic", undefined | GenerativeAnthropicConfig>;
 anyscale(config?): ModuleConfig<"generative-anyscale", undefined | GenerativeAnyscaleConfig>;
 aws(config): ModuleConfig<"generative-aws", GenerativeAWSConfig>;
 friendliai(config?): ModuleConfig<"generative-friendliai", undefined | GenerativeFriendliAIConfig>;
 mistral(config?): ModuleConfig<"generative-mistral", undefined | GenerativeMistralConfig>;
 nvidia(config?): ModuleConfig<"generative-nvidia", undefined | GenerativeNvidiaConfig>;
 ollama(config?): ModuleConfig<"generative-ollama", undefined | GenerativeOllamaConfig>;
}
- azureOpenAI: ((config) => ModuleConfig<"generative-openai", GenerativeAzureOpenAIConfig>)
 Create a ModuleConfig<'generative-openai', GenerativeAzureOpenAIConfig> object for use when performing AI generation using the generative-openai module.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - (config): ModuleConfig<"generative-openai", GenerativeAzureOpenAIConfig>
 - Parameters
 config: GenerativeAzureOpenAIConfigCreate
 The configuration for the generative-openai module.
 Returns ModuleConfig<"generative-openai", GenerativeAzureOpenAIConfig>
- cohere: ((config?) => ModuleConfig<"generative-cohere", undefined | GenerativeCohereConfig>)
 Create a ModuleConfig<'generative-cohere', GenerativeCohereConfig> object for use when performing AI generation using the generative-cohere module.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - (config?): ModuleConfig<"generative-cohere", undefined | GenerativeCohereConfig>
 - Parameters
 Optional config: GenerativeCohereConfigCreate
 The configuration for the generative-cohere module.
 Returns ModuleConfig<"generative-cohere", undefined | GenerativeCohereConfig>
- databricks: ((config) => ModuleConfig<"generative-databricks", GenerativeDatabricksConfig>)
 Create a ModuleConfig<'generative-databricks', GenerativeDatabricksConfig> object for use when performing AI generation using the generative-databricks module.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - (config): ModuleConfig<"generative-databricks", GenerativeDatabricksConfig>
 - Parameters
 config: GenerativeDatabricksConfig
 The configuration for the generative-databricks module.
 Returns ModuleConfig<"generative-databricks", GenerativeDatabricksConfig>
- google: ((config?) => ModuleConfig<"generative-google", undefined | GenerativeGoogleConfig>)
 Create a ModuleConfig<'generative-google', GenerativeGoogleConfig> object for use when performing AI generation using the generative-google module.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - (config?): ModuleConfig<"generative-google", undefined | GenerativeGoogleConfig>
 - Parameters
 Optional config: GenerativeGoogleConfig
 The configuration for the generative-palm module.
 Returns ModuleConfig<"generative-google", undefined | GenerativeGoogleConfig>
- openAI: ((config?) => ModuleConfig<"generative-openai", undefined | GenerativeOpenAIConfig>)
 Create a ModuleConfig<'generative-openai', GenerativeOpenAIConfig | undefined> object for use when performing AI generation using the generative-openai module.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - (config?): ModuleConfig<"generative-openai", undefined | GenerativeOpenAIConfig>
 - Parameters
 Optional config: GenerativeOpenAIConfigCreate
 The configuration for the generative-openai module.
 Returns ModuleConfig<"generative-openai", undefined | GenerativeOpenAIConfig>
- palm: ((config?) => ModuleConfig<"generative-palm", undefined | GenerativeGoogleConfig>)
 Create a ModuleConfig<'generative-palm', GenerativePaLMConfig> object for use when performing AI generation using the generative-palm module.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 
 Deprecated
 Use google instead.
 - - (config?): ModuleConfig<"generative-palm", undefined | GenerativeGoogleConfig>
 - Parameters
 Optional config: GenerativeGoogleConfig
 The configuration for the generative-palm module.
 Returns ModuleConfig<"generative-palm", undefined | GenerativeGoogleConfig>
- xai: ((config?) => ModuleConfig<"generative-xai", undefined | GenerativeXAIConfig>)
 Create a ModuleConfig<'generative-xai', GenerativeXAIConfig | undefined> object for use when performing AI generation using the generative-xai module.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - (config?): ModuleConfig<"generative-xai", undefined | GenerativeXAIConfig>
 - Parameters
 Optional config: GenerativeXAIConfig
 The configuration for the generative-xai module.
 Returns ModuleConfig<"generative-xai", undefined | GenerativeXAIConfig>
- anthropic:function
 - anthropic(config?): ModuleConfig<"generative-anthropic", undefined | GenerativeAnthropicConfig>
 - Create a ModuleConfig<'generative-anthropic', GenerativeAnthropicConfig | undefined> object for use when performing AI generation using the generative-anthropic module.
 
 See the documentation for detailed usage.
 Parameters
 - Optional config: GenerativeAnthropicConfig
 The configuration for the generative-anthropic module.
 Returns ModuleConfig<"generative-anthropic", undefined | GenerativeAnthropicConfig>
 The configuration object.
 - Defined in collections/configure/generative.ts:43
- anyscale:function
 - anyscale(config?): ModuleConfig<"generative-anyscale", undefined | GenerativeAnyscaleConfig>
 - Create a ModuleConfig<'generative-anyscale', GenerativeAnyscaleConfig | undefined> object for use when performing AI generation using the generative-anyscale module.
 
 See the documentation for detailed usage.
 Parameters
 - Optional config: GenerativeAnyscaleConfig
 The configuration for the generative-aws module.
 Returns ModuleConfig<"generative-anyscale", undefined | GenerativeAnyscaleConfig>
 The configuration object.
 - Defined in collections/configure/generative.ts:59
- aws:function
 - aws(config): ModuleConfig<"generative-aws", GenerativeAWSConfig>
 - Create a ModuleConfig<'generative-aws', GenerativeAWSConfig> object for use when performing AI generation using the generative-aws module.
 
 See the documentation for detailed usage.
 Parameters
 - config: GenerativeAWSConfig
 The configuration for the generative-aws module.
 Returns ModuleConfig<"generative-aws", GenerativeAWSConfig>
 The configuration object.
 - Defined in collections/configure/generative.ts:75
- friendliai:function
 - friendliai(config?): ModuleConfig<"generative-friendliai", undefined | GenerativeFriendliAIConfig>
 - Create a ModuleConfig<'generative-friendliai', GenerativeFriendliAIConfig | undefined> object for use when performing AI generation using the generative-friendliai module.
 
 See the documentation for detailed usage.
 Parameters
 - Optional config: GenerativeFriendliAIConfig
 Returns ModuleConfig<"generative-friendliai", undefined | GenerativeFriendliAIConfig>
 - Defined in collections/configure/generative.ts:152
- mistral:function
 - mistral(config?): ModuleConfig<"generative-mistral", undefined | GenerativeMistralConfig>
 - Create a ModuleConfig<'generative-mistral', GenerativeMistralConfig | undefined> object for use when performing AI generation using the generative-mistral module.
 
 See the documentation for detailed usage.
 Parameters
 - Optional config: GenerativeMistralConfig
 The configuration for the generative-mistral module.
 Returns ModuleConfig<"generative-mistral", undefined | GenerativeMistralConfig>
 The configuration object.
 - Defined in collections/configure/generative.ts:168
- nvidia:function
 - nvidia(config?): ModuleConfig<"generative-nvidia", undefined | GenerativeNvidiaConfig>
 - Create a ModuleConfig<'generative-nvidia', GenerativeNvidiaConfig | undefined> object for use when performing AI generation using the generative-mistral module.
 
 See the documentation for detailed usage.
 Parameters
 - Optional config: GenerativeNvidiaConfig
 The configuration for the generative-nvidia module.
 Returns ModuleConfig<"generative-nvidia", undefined | GenerativeNvidiaConfig>
 The configuration object.
 - Defined in collections/configure/generative.ts:184
- ollama:function
 - ollama(config?): ModuleConfig<"generative-ollama", undefined | GenerativeOllamaConfig>
 - Create a ModuleConfig<'generative-ollama', GenerativeOllamaConfig | undefined> object for use when performing AI generation using the generative-ollama module.
 
 See the documentation for detailed usage.
 Parameters
 - Optional config: GenerativeOllamaConfig
 The configuration for the generative-openai module.
 Returns ModuleConfig<"generative-ollama", undefined | GenerativeOllamaConfig>
 The configuration object.
 - Defined in collections/configure/generative.ts:200
invertedIndex: ((options) => {
    bm25?: {
        b?: number;
        k1?: number;
    };
    cleanupIntervalSeconds?: number;
    indexNullState?: boolean;
    indexPropertyLength?: boolean;
    indexTimestamps?: boolean;
    stopwords?: {
        additions?: (undefined | string)[];
        preset?: string;
        removals?: (undefined | string)[];
    };
})
Create an InvertedIndexConfigCreate object to be used when defining the configuration of the keyword searching algorithm of your collection.

See the docs for details!
- - (options): {
        bm25?: {
            b?: number;
            k1?: number;
        };
        cleanupIntervalSeconds?: number;
        indexNullState?: boolean;
        indexPropertyLength?: boolean;
        indexTimestamps?: boolean;
        stopwords?: {
            additions?: (undefined | string)[];
            preset?: string;
            removals?: (undefined | string)[];
        };
    }
  - Parameters
    - options: {
          bm25b?: number;
          bm25k1?: number;
          cleanupIntervalSeconds?: number;
          indexNullState?: boolean;
          indexPropertyLength?: boolean;
          indexTimestamps?: boolean;
          stopwordsAdditions?: string[];
          stopwordsPreset?: "none" | "en";
          stopwordsRemovals?: string[];
      }
      Optional bm25b?: number
      The BM25 b parameter.
      
      Optional bm25k1?: number
      The BM25 k1 parameter.
      
      Optional cleanupIntervalSeconds?: number
      The interval in seconds at which the inverted index is cleaned up.
      
      Optional indexNullState?: boolean
      Whether to index the null state of properties.
      
      Optional indexPropertyLength?: boolean
      Whether to index the length of properties.
      
      Optional indexTimestamps?: boolean
      Whether to index timestamps.
      
      Optional stopwordsAdditions?: string[]
      Additional stopwords to add.
      
      Optional stopwordsPreset?: "none" | "en"
      The stopwords preset to use.
      
      Optional stopwordsRemovals?: string[]
      Stopwords to remove.
    Returns {
        bm25?: {
            b?: number;
            k1?: number;
        };
        cleanupIntervalSeconds?: number;
        indexNullState?: boolean;
        indexPropertyLength?: boolean;
        indexTimestamps?: boolean;
        stopwords?: {
            additions?: (undefined | string)[];
            preset?: string;
            removals?: (undefined | string)[];
        };
    }
    - Optional bm25?: {
      b?: number;
      k1?: number;
      }
      - Optional b?: number
      - Optional k1?: number
    - Optional cleanupIntervalSeconds?: number
    - Optional indexNullState?: boolean
    - Optional indexPropertyLength?: boolean
    - Optional indexTimestamps?: boolean
    - Optional stopwords?: {
          additions?: (undefined | string)[];
          preset?: string;
          removals?: (undefined | string)[];
      }
      - Optional additions?: (undefined | string)[]
      - Optional preset?: string
      - Optional removals?: (undefined | string)[]
multiTenancy: ((options?) => {
    autoTenantActivation?: boolean;
    autoTenantCreation?: boolean;
    enabled?: boolean;
})
Create a MultiTenancyConfigCreate object to be used when defining the multi-tenancy configuration of your collection.
- - (options?): {
        autoTenantActivation?: boolean;
        autoTenantCreation?: boolean;
        enabled?: boolean;
    }
  - Parameters
    - Optional options: {
          autoTenantActivation?: boolean;
          autoTenantCreation?: boolean;
          enabled?: boolean;
      }
      Optional autoTenantActivation?: boolean
      Whether auto-tenant activation is enabled. Default is false.
      
      Optional autoTenantCreation?: boolean
      Whether auto-tenant creation is enabled. Default is false.
      
      Optional enabled?: boolean
      Whether multi-tenancy is enabled. Default is true.
    Returns {
        autoTenantActivation?: boolean;
        autoTenantCreation?: boolean;
        enabled?: boolean;
    }
    - Optional autoTenantActivation?: boolean
    - Optional autoTenantCreation?: boolean
    - Optional enabled?: boolean
multiVectors: {
 multi2VecJinaAI: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2multivec-jinaai">);
 selfProvided: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "none">);
 text2VecJinaAI: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2multivec-jinaai">);
}
- multi2VecJinaAI: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2multivec-jinaai">)
 Create a VectorConfigCreate object with the vectorizer set to 'multi2multivec-jinaai'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <N, I>(opts?): VectorConfigCreate<never, N, I, "multi2multivec-jinaai">
 - Type Parameters
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Multi2MultivecJinaAIConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 }
 The configuration options for the multi2multivec-jinaai vectorizer.
 Returns VectorConfigCreate<never, N, I, "multi2multivec-jinaai">
- selfProvided: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "none">)
 Create a multi-vector VectorConfigCreate object with the vectorizer set to 'none'.
 
 Returns
 The configuration object.
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "none">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: ConfigureNonTextMultiVectorizerOptions<N, I, "none">
 The configuration options for the none vectorizer.
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "none">
- text2VecJinaAI: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2multivec-jinaai">)
 Create a multi-vector VectorConfigCreate object with the vectorizer set to 'text2multivec-jinaai'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2multivec-jinaai">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Text2MultiVecJinaAIConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 } & {
 encoding?: {
 dprojections?: number;
 ksim?: number;
 repetitions?: number;
 type?: "muvera";
 };
 }
 The configuration options for the text2multivec-jinaai vectorizer.
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2multivec-jinaai">
replication: ((options) => {
    asyncEnabled?: boolean;
    deletionStrategy?: ReplicationDeletionStrategy;
    factor?: number;
})
Create a ReplicationConfigCreate object to be used when defining the replication configuration of your collection.

NOTE: You can only use one of Sharding or Replication, not both.

See the docs for more details.
- - (options): {
        asyncEnabled?: boolean;
        deletionStrategy?: ReplicationDeletionStrategy;
        factor?: number;
    }
  - Parameters
    - options: {
          asyncEnabled?: boolean;
          deletionStrategy?: ReplicationDeletionStrategy;
          factor?: number;
      }
      Optional asyncEnabled?: boolean
      Whether asynchronous replication is enabled. Default is false.
      
      Optional deletionStrategy?: ReplicationDeletionStrategy
      The deletion strategy when replication conflicts are detected between deletes and reads.
      
      Optional factor?: number
      The replication factor. Default is 1.
    Returns {
        asyncEnabled?: boolean;
        deletionStrategy?: ReplicationDeletionStrategy;
        factor?: number;
    }
    - Optional asyncEnabled?: boolean
    - Optional deletionStrategy?: ReplicationDeletionStrategy
    - Optional factor?: number
reranker: {
 cohere: ((config?) => ModuleConfig<"reranker-cohere", undefined | RerankerCohereConfig>);
 jinaai: ((config?) => ModuleConfig<"reranker-jinaai", undefined | RerankerJinaAIConfig>);
 nvidia: ((config?) => ModuleConfig<"reranker-nvidia", undefined | RerankerNvidiaConfig>);
 transformers: (() => ModuleConfig<"reranker-transformers", Record<string, never>>);
 voyageAI: ((config?) => ModuleConfig<"reranker-voyageai", undefined | RerankerVoyageAIConfig>);
}
- cohere: ((config?) => ModuleConfig<"reranker-cohere", undefined | RerankerCohereConfig>)
 Create a ModuleConfig<'reranker-cohere', RerankerCohereConfig> object for use when reranking using the reranker-cohere module.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - (config?): ModuleConfig<"reranker-cohere", undefined | RerankerCohereConfig>
 - Parameters
 Optional config: RerankerCohereConfig
 The configuration for the reranker-cohere module.
 Returns ModuleConfig<"reranker-cohere", undefined | RerankerCohereConfig>
- jinaai: ((config?) => ModuleConfig<"reranker-jinaai", undefined | RerankerJinaAIConfig>)
 Create a ModuleConfig<'reranker-jinaai', RerankerJinaAIConfig> object for use when reranking using the reranker-jinaai module.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - (config?): ModuleConfig<"reranker-jinaai", undefined | RerankerJinaAIConfig>
 - Parameters
 Optional config: RerankerJinaAIConfig
 The configuration for the reranker-jinaai module.
 Returns ModuleConfig<"reranker-jinaai", undefined | RerankerJinaAIConfig>
- nvidia: ((config?) => ModuleConfig<"reranker-nvidia", undefined | RerankerNvidiaConfig>)
 Create a ModuleConfig<'reranker-nvidia', RerankerNvidiaConfig> object for use when reranking using the reranker-nvidia module.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - (config?): ModuleConfig<"reranker-nvidia", undefined | RerankerNvidiaConfig>
 - Parameters
 Optional config: RerankerNvidiaConfig
 The configuration for the reranker-nvidia module.
 Returns ModuleConfig<"reranker-nvidia", undefined | RerankerNvidiaConfig>
- transformers: (() => ModuleConfig<"reranker-transformers", Record<string, never>>)
 Create a ModuleConfig<'reranker-transformers', Record<string, never>> object for use when reranking using the reranker-transformers module.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - (): ModuleConfig<"reranker-transformers", Record<string, never>>
 - Returns ModuleConfig<"reranker-transformers", Record<string, never>>
- voyageAI: ((config?) => ModuleConfig<"reranker-voyageai", undefined | RerankerVoyageAIConfig>)
 Create a ModuleConfig<'reranker-voyageai', RerankerVoyageAIConfig> object for use when reranking using the reranker-voyageai module.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - (config?): ModuleConfig<"reranker-voyageai", undefined | RerankerVoyageAIConfig>
 - Parameters
 Optional config: RerankerVoyageAIConfig
 The configuration for the reranker-voyage-ai module.
 Returns ModuleConfig<"reranker-voyageai", undefined | RerankerVoyageAIConfig>
sharding: ((options) => ShardingConfigCreate)
Create a ShardingConfigCreate object to be used when defining the sharding configuration of your collection.

NOTE: You can only use one of Sharding or Replication, not both.

See the docs for more details.
- - (options): ShardingConfigCreate
  - Parameters
    - options: {
          desiredCount?: number;
          desiredVirtualCount?: number;
          virtualPerPhysical?: number;
      }
      Optional desiredCount?: number
      The desired number of physical shards.
      
      Optional desiredVirtualCount?: number
      The desired number of virtual shards.
      
      Optional virtualPerPhysical?: number
      The number of virtual shards per physical shard.
    Returns ShardingConfigCreate
tokenization: {
    FIELD: "field";
    GSE: "gse";
    KAGOME_KR: "kagome_kr";
    LOWERCASE: "lowercase";
    TRIGRAM: "trigram";
    WHITESPACE: "whitespace";
    WORD: "word";
}
- FIELD: "field"
- GSE: "gse"
- KAGOME_KR: "kagome_kr"
- LOWERCASE: "lowercase"
- TRIGRAM: "trigram"
- WHITESPACE: "whitespace"
- WORD: "word"
vectorDistances: {
    COSINE: "cosine";
    DOT: "dot";
    HAMMING: "hamming";
    L2_SQUARED: "l2-squared";
}
- COSINE: "cosine"
- DOT: "dot"
- HAMMING: "hamming"
- L2_SQUARED: "l2-squared"
vectorIndex: {
 dynamic: ((opts?) => ModuleConfig<"dynamic", undefined | VectorIndexConfigDynamicCreate>);
 flat: ((opts?) => ModuleConfig<"flat", undefined | VectorIndexConfigFlatCreate>);
 hnsw: ((opts?) => ModuleConfig<"hnsw", undefined | VectorIndexConfigHNSWCreate>);
 multiVector: {
 encoding: {
 muvera: ((options?) => {
 dprojections?: number;
 ksim?: number;
 repetitions?: number;
 type?: "muvera";
 });
 };
 multiVector: ((options?) => MultiVectorConfigCreate);
 };
 quantizer: {
 bq: ((options?) => QuantizerRecursivePartial<BQConfig>);
 none: (() => UncompressedConfig);
 pq: ((options?) => QuantizerRecursivePartial<PQConfig>);
 rq: ((options?) => QuantizerRecursivePartial<RQConfig>);
 sq: ((options?) => QuantizerRecursivePartial<SQConfig>);
 };
}
- dynamic: ((opts?) => ModuleConfig<"dynamic", undefined | VectorIndexConfigDynamicCreate>)
 Create a ModuleConfig<'dynamic', VectorIndexConfigDynamicCreate | undefined> object when defining the configuration of the dynamic vector index.
 
 Use this method when defining the options.vectorIndexConfig argument of the configure.vectors method.
 
 Returns
 The configuration object.
 - - (opts?): ModuleConfig<"dynamic", undefined | VectorIndexConfigDynamicCreate>
 - Parameters
 Optional opts: VectorIndexConfigDynamicCreateOptions
 The options available for configuring the dynamic vector index.
 Returns ModuleConfig<"dynamic", undefined | VectorIndexConfigDynamicCreate>
- flat: ((opts?) => ModuleConfig<"flat", undefined | VectorIndexConfigFlatCreate>)
 Create a ModuleConfig<'flat', VectorIndexConfigFlatCreate | undefined> object when defining the configuration of the FLAT vector index.
 
 Use this method when defining the options.vectorIndexConfig argument of the configure.vectors method.
 
 Returns
 The configuration object.
 - - (opts?): ModuleConfig<"flat", undefined | VectorIndexConfigFlatCreate>
 - Parameters
 Optional opts: VectorIndexConfigFlatCreateOptions
 The options available for configuring the flat vector index.
 Returns ModuleConfig<"flat", undefined | VectorIndexConfigFlatCreate>
- hnsw: ((opts?) => ModuleConfig<"hnsw", undefined | VectorIndexConfigHNSWCreate>)
 Create a ModuleConfig<'hnsw', VectorIndexConfigHNSWCreate | undefined> object when defining the configuration of the HNSW vector index.
 
 Use this method when defining the options.vectorIndexConfig argument of the configure.vectors method.
 
 Returns
 The configuration object.
 - - (opts?): ModuleConfig<"hnsw", undefined | VectorIndexConfigHNSWCreate>
 - Parameters
 Optional opts: VectorIndexConfigHNSWCreateOptions
 The options available for configuring the HNSW vector index.
 Returns ModuleConfig<"hnsw", undefined | VectorIndexConfigHNSWCreate>
- multiVector: {
 encoding: {
 muvera: ((options?) => {
 dprojections?: number;
 ksim?: number;
 repetitions?: number;
 type?: "muvera";
 });
 };
 multiVector: ((options?) => MultiVectorConfigCreate);
 }
 Define the configuration for a multi-vector index.
 - encoding: {
 muvera: ((options?) => {
 dprojections?: number;
 ksim?: number;
 repetitions?: number;
 type?: "muvera";
 });
 }
 Specify the encoding configuration for a multi-vector index.
 - muvera: ((options?) => {
 dprojections?: number;
 ksim?: number;
 repetitions?: number;
 type?: "muvera";
 })
 Create an object of type MuveraEncodingConfigCreate to be used when defining the encoding configuration of a multi-vector index using MUVERA.
 
 Returns
 The object of type MuveraEncodingConfigCreate.
 - (options?): {
 dprojections?: number;
 ksim?: number;
 repetitions?: number;
 type?: "muvera";
 }
 Parameters
 Optional options: {
 dprojections?: number;
 ksim?: number;
 repetitions?: number;
 }
 Optional dprojections?: number
 The number of projections to use. Default is undefined.
 
 Optional ksim?: number
 The number of nearest neighbors to consider for similarity. Default is undefined.
 
 Optional repetitions?: number
 The number of repetitions to use. Default is undefined.
 
 Returns {
 dprojections?: number;
 ksim?: number;
 repetitions?: number;
 type?: "muvera";
 }
 Optional dprojections?: number
 Optional ksim?: number
 Optional repetitions?: number
 Optional type?: "muvera"
 - multiVector: ((options?) => MultiVectorConfigCreate)
 Create an object of type MultiVectorConfigCreate to be used when defining the configuration of a multi-vector index.
 
 Returns
 The object of type MultiVectorConfigCreate.
 - - (options?): MultiVectorConfigCreate
 - Parameters
 Optional options: {
 aggregation?: string;
 encoding?: {
 dprojections?: number;
 ksim?: number;
 repetitions?: number;
 type?: "muvera";
 };
 }
 Optional aggregation?: string
 The aggregation method to use. Default is 'maxSim'.
 
 Optional encoding?: {
 dprojections?: number;
 ksim?: number;
 repetitions?: number;
 type?: "muvera";
 }
 The encoding configuration for the multi-vector index. Default is undefined.
 
 Optional dprojections?: number
 Optional ksim?: number
 Optional repetitions?: number
 Optional type?: "muvera"
 Returns MultiVectorConfigCreate
- quantizer: {
 bq: ((options?) => QuantizerRecursivePartial<BQConfig>);
 none: (() => UncompressedConfig);
 pq: ((options?) => QuantizerRecursivePartial<PQConfig>);
 rq: ((options?) => QuantizerRecursivePartial<RQConfig>);
 sq: ((options?) => QuantizerRecursivePartial<SQConfig>);
 }
 Define the quantizer configuration to use when creating a vector index.
 - bq: ((options?) => QuantizerRecursivePartial<BQConfig>)
 Create an object of type BQConfigCreate to be used when defining the quantizer configuration of a vector index.
 
 Returns
 The object of type BQConfigCreate.
 - - (options?): QuantizerRecursivePartial<BQConfig>
 - Parameters
 Optional options: {
 cache?: boolean;
 rescoreLimit?: number;
 }
 Optional cache?: boolean
 Whether to cache the quantizer. Default is false.
 
 Optional rescoreLimit?: number
 The rescore limit. Default is 1000.
 
 Returns QuantizerRecursivePartial<BQConfig>
 - none: (() => UncompressedConfig)
 Create an object of type UncompressedConfig to be used when defining the quantizer configuration of a vector index.
 
 This is useful for disabling the default quantization present in Weaviate>=1.33.0.
 
 Returns
 The object of type UncompressedConfig.
 - - (): UncompressedConfig
 - Returns UncompressedConfig
 - pq: ((options?) => QuantizerRecursivePartial<PQConfig>)
 Create an object of type PQConfigCreate to be used when defining the quantizer configuration of a vector index.
 
 Returns
 The object of type PQConfigCreate.
 - - (options?): QuantizerRecursivePartial<PQConfig>
 - Parameters
 Optional options: {
 bitCompression?: boolean;
 centroids?: number;
 encoder?: {
 distribution?: PQEncoderDistribution;
 type?: PQEncoderType;
 };
 segments?: number;
 trainingLimit?: number;
 }
 Optional bitCompression?: boolean
 Whether to use bit compression.
 
 Optional centroids?: number
 The number of centroids.
 
 Optional encoder?: {
 distribution?: PQEncoderDistribution;
 type?: PQEncoderType;
 }
 Optional distribution?: PQEncoderDistribution
 Optional type?: PQEncoderType
 Optional segments?: number
 The number of segments.
 
 Optional trainingLimit?: number
 The training limit.
 
 Returns QuantizerRecursivePartial<PQConfig>
 - rq: ((options?) => QuantizerRecursivePartial<RQConfig>)
 Create an object of type RQConfigCreate to be used when defining the quantizer configuration of a vector index.
 
 Returns
 The object of type RQConfigCreate.
 - - (options?): QuantizerRecursivePartial<RQConfig>
 - Parameters
 Optional options: {
 bits?: number;
 rescoreLimit?: number;
 }
 Optional bits?: number
 Number of bits to user per vector element.
 
 Optional rescoreLimit?: number
 The rescore limit. Default is 1000.
 
 Returns QuantizerRecursivePartial<RQConfig>
 - sq: ((options?) => QuantizerRecursivePartial<SQConfig>)
 Create an object of type SQConfigCreate to be used when defining the quantizer configuration of a vector index.
 
 Returns
 The object of type SQConfigCreate.
 - - (options?): QuantizerRecursivePartial<SQConfig>
 - Parameters
 Optional options: {
 rescoreLimit?: number;
 trainingLimit?: number;
 }
 Optional rescoreLimit?: number
 The rescore limit.
 
 Optional trainingLimit?: number
 The training limit.
 
 Returns QuantizerRecursivePartial<SQConfig>
vectorizer: {
 img2VecNeural: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "img2vec-neural">);
 multi2VecBind: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-bind">);
 multi2VecClip: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-clip">);
 multi2VecCohere: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-cohere">);
 multi2VecGoogle: (<N, I>(opts) => VectorConfigCreate<never, N, I, "multi2vec-google">);
 multi2VecJinaAI: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-jinaai">);
 multi2VecPalm: (<N, I>(opts) => VectorConfigCreate<never, N, I, "multi2vec-palm">);
 multi2VecVoyageAI: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-voyageai">);
 none: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "none">);
 ref2VecCentroid: (<N, I>(opts) => VectorConfigCreate<never, N, I, "ref2vec-centroid">);
 selfProvided: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "none">);
 text2VecAWS: (<T, N, I>(opts) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-aws">);
 text2VecAzureOpenAI: (<T, N, I>(opts) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-azure-openai">);
 text2VecCohere: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-cohere">);
 text2VecContextionary: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-contextionary">);
 text2VecDatabricks: (<T, N, I>(opts) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-databricks">);
 text2VecGPT4All: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-gpt4all">);
 text2VecGoogle: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-google">);
 text2VecHuggingFace: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-huggingface">);
 text2VecJinaAI: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-jinaai">);
 text2VecMistral: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-mistral">);
 text2VecModel2Vec: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-model2vec">);
 text2VecNvidia: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-nvidia">);
 text2VecOllama: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-ollama">);
 text2VecOpenAI: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-openai">);
 text2VecPalm: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-palm">);
 text2VecTransformers: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-transformers">);
 text2VecVoyageAI: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-voyageai">);
 text2VecWeaviate: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-weaviate">);
}
Deprecated
Use configure.vectors instead.
- img2VecNeural: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "img2vec-neural">)
 Create a VectorConfigCreate object with the vectorizer set to 'img2vec-neural'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <N, I>(opts?): VectorConfigCreate<never, N, I, "img2vec-neural">
 - Type Parameters
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Img2VecNeuralConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 }
 The configuration options for the img2vec-neural vectorizer.
 Returns VectorConfigCreate<never, N, I, "img2vec-neural">
- multi2VecBind: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-bind">)
 Create a VectorConfigCreate object with the vectorizer set to 'multi2vec-bind'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <N, I>(opts?): VectorConfigCreate<never, N, I, "multi2vec-bind">
 - Type Parameters
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Multi2VecBindConfig, Multi2VecOmissions> & {
 IMUFields?: string[] | Multi2VecField[];
 audioFields?: string[] | Multi2VecField[];
 depthFields?: string[] | Multi2VecField[];
 imageFields?: string[] | Multi2VecField[];
 textFields?: string[] | Multi2VecField[];
 thermalFields?: string[] | Multi2VecField[];
 videoFields?: string[] | Multi2VecField[];
 } & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 }
 The configuration options for the multi2vec-bind vectorizer.
 Returns VectorConfigCreate<never, N, I, "multi2vec-bind">
- multi2VecClip: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-clip">)
 Create a VectorConfigCreate object with the vectorizer set to 'multi2vec-clip'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <N, I>(opts?): VectorConfigCreate<never, N, I, "multi2vec-clip">
 - Type Parameters
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Multi2VecClipConfig, Multi2VecOmissions> & {
 imageFields?: string[] | Multi2VecField[];
 textFields?: string[] | Multi2VecField[];
 } & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 }
 The configuration options for the multi2vec-clip vectorizer.
 Returns VectorConfigCreate<never, N, I, "multi2vec-clip">
- multi2VecCohere: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-cohere">)
 Create a VectorConfigCreate object with the vectorizer set to 'multi2vec-cohere'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <N, I>(opts?): VectorConfigCreate<never, N, I, "multi2vec-cohere">
 - Type Parameters
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Multi2VecCohereConfig, Multi2VecOmissions> & {
 imageFields?: string[] | Multi2VecField[];
 textFields?: string[] | Multi2VecField[];
 } & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 }
 The configuration options for the multi2vec-cohere vectorizer.
 Returns VectorConfigCreate<never, N, I, "multi2vec-cohere">
- multi2VecGoogle: (<N, I>(opts) => VectorConfigCreate<never, N, I, "multi2vec-google">)
 Create a VectorConfigCreate object with the vectorizer set to 'multi2vec-google'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <N, I>(opts): VectorConfigCreate<never, N, I, "multi2vec-google">
 - Type Parameters
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 opts: ConfigureNonTextVectorizerOptions<N, I, "multi2vec-google">
 The configuration options for the multi2vec-google vectorizer.
 Returns VectorConfigCreate<never, N, I, "multi2vec-google">
- multi2VecJinaAI: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-jinaai">)
 Create a VectorConfigCreate object with the vectorizer set to 'multi2vec-jinaai'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <N, I>(opts?): VectorConfigCreate<never, N, I, "multi2vec-jinaai">
 - Type Parameters
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Multi2VecJinaAIConfig, Multi2VecOmissions> & {
 imageFields?: string[] | Multi2VecField[];
 textFields?: string[] | Multi2VecField[];
 } & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 }
 The configuration options for the multi2vec-jinaai vectorizer.
 Returns VectorConfigCreate<never, N, I, "multi2vec-jinaai">
- multi2VecPalm: (<N, I>(opts) => VectorConfigCreate<never, N, I, "multi2vec-palm">)
 Create a VectorConfigCreate object with the vectorizer set to 'multi2vec-palm'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 
 Deprecated
 Use multi2VecGoogle instead.
 - - <N, I>(opts): VectorConfigCreate<never, N, I, "multi2vec-palm">
 - Type Parameters
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 opts: ConfigureNonTextVectorizerOptions<N, I, "multi2vec-palm">
 The configuration options for the multi2vec-palm vectorizer.
 Returns VectorConfigCreate<never, N, I, "multi2vec-palm">
- multi2VecVoyageAI: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-voyageai">)
 Create a VectorConfigCreate object with the vectorizer set to 'multi2vec-clip'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <N, I>(opts?): VectorConfigCreate<never, N, I, "multi2vec-voyageai">
 - Type Parameters
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Multi2VecVoyageAIConfig, Multi2VecOmissions> & {
 imageFields?: string[] | Multi2VecField[];
 textFields?: string[] | Multi2VecField[];
 } & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 }
 The configuration options for the multi2vec-voyageai vectorizer.
 Returns VectorConfigCreate<never, N, I, "multi2vec-voyageai">
- none: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "none">)
 Create a VectorConfigCreate object with the vectorizer set to 'none'.
 
 Returns
 The configuration object.
 
 Deprecated
 Use selfProvided instead.
 - - <N, I>(opts?): VectorConfigCreate<never, N, I, "none">
 - Type Parameters
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 }
 The configuration options for the none vectorizer.
 
 Optional name?: N
 Optional quantizer?: QuantizerConfigCreate
 Optional vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>
 Returns VectorConfigCreate<never, N, I, "none">
- ref2VecCentroid: (<N, I>(opts) => VectorConfigCreate<never, N, I, "ref2vec-centroid">)
 Create a VectorConfigCreate object with the vectorizer set to 'ref2vec-centroid'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <N, I>(opts): VectorConfigCreate<never, N, I, "ref2vec-centroid">
 - Type Parameters
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 opts: ConfigureNonTextVectorizerOptions<N, I, "ref2vec-centroid">
 The configuration options for the ref2vec-centroid vectorizer.
 Returns VectorConfigCreate<never, N, I, "ref2vec-centroid">
- selfProvided: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "none">)
 Create a VectorConfigCreate object with the vectorizer set to 'none'.
 
 Returns
 The configuration object.
 - - <N, I>(opts?): VectorConfigCreate<never, N, I, "none">
 - Type Parameters
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 }
 The configuration options for the none vectorizer.
 
 Optional name?: N
 Optional quantizer?: QuantizerConfigCreate
 Optional vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>
 Returns VectorConfigCreate<never, N, I, "none">
- text2VecAWS: (<T, N, I>(opts) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-aws">)
 Create a VectorConfigCreate object with the vectorizer set to 'text2vec-aws'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <T, N, I>(opts): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-aws">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 opts: ConfigureTextVectorizerOptions<T, N, I, "text2vec-aws">
 The configuration options for the text2vec-aws vectorizer.
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-aws">
- text2VecAzureOpenAI: (<T, N, I>(opts) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-azure-openai">)
 Create a VectorConfigCreate object with the vectorizer set to 'text2vec-azure-openai'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <T, N, I>(opts): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-azure-openai">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 opts: ConfigureTextVectorizerOptions<T, N, I, "text2vec-azure-openai">
 The configuration options for the text2vec-azure-openai vectorizer.
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-azure-openai">
- text2VecCohere: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-cohere">)
 Create a VectorConfigCreate object with the vectorizer set to 'text2vec-cohere'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-cohere">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Text2VecCohereConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }
 The configuration options for the text2vec-cohere vectorizer.
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-cohere">
- text2VecContextionary: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-contextionary">)
 Create a VectorConfigCreate object with the vectorizer set to 'text2vec-contextionary'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 
 Deprecated
 The contextionary model is old and not recommended for use. If you are looking for a local, lightweight model try the new text2vec-model2vec module instead.
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-contextionary">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Text2VecContextionaryConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }
 The configuration for the text2vec-contextionary vectorizer.
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-contextionary">
- text2VecDatabricks: (<T, N, I>(opts) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-databricks">)
 Create a VectorConfigCreate object with the vectorizer set to 'text2vec-databricks'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <T, N, I>(opts): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-databricks">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 opts: ConfigureTextVectorizerOptions<T, N, I, "text2vec-databricks">
 The configuration for the text2vec-databricks vectorizer.
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-databricks">
- text2VecGPT4All: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-gpt4all">)
 Create a VectorConfigCreate object with the vectorizer set to 'text2vec-gpt4all'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-gpt4all">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Text2VecGPT4AllConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }
 The configuration for the text2vec-gpt4all vectorizer.
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-gpt4all">
- text2VecGoogle: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-google">)
 Create a VectorConfigCreate object with the vectorizer set to 'text2vec-google'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-google">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Text2VecGoogleConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }
 The configuration for the text2vec-palm vectorizer.
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-google">
- text2VecHuggingFace: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-huggingface">)
 Create a VectorConfigCreate object with the vectorizer set to 'text2vec-huggingface'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-huggingface">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Text2VecHuggingFaceConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }
 The configuration for the text2vec-huggingface vectorizer.
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-huggingface">
- text2VecJinaAI: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-jinaai">)
 Create a VectorConfigCreate object with the vectorizer set to 'text2vec-jinaai'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-jinaai">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Text2VecJinaAIConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }
 The configuration for the text2vec-jinaai vectorizer.
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-jinaai">
- text2VecMistral: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-mistral">)
 Create a VectorConfigCreate object with the vectorizer set to 'text2vec-mistral'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-mistral">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Text2VecMistralConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }
 The configuration for the text2vec-mistral vectorizer.
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-mistral">
- text2VecModel2Vec: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-model2vec">)
 Create a VectorConfigCreate object with the vectorizer set to 'text2vec-model2vec'.
 
 Returns
 The configuration object.
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-model2vec">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Text2VecModel2Vec & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }
 The configuration for the text2vec-model2vec vectorizer.
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-model2vec">
- text2VecNvidia: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-nvidia">)
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-nvidia">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Text2VecNvidiaConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-nvidia">
- text2VecOllama: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-ollama">)
 Create a VectorConfigCreate object with the vectorizer set to 'text2vec-ollama'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-ollama">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Text2VecOllamaConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }
 The configuration for the text2vec-ollama vectorizer.
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-ollama">
- text2VecOpenAI: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-openai">)
 Create a VectorConfigCreate object with the vectorizer set to 'text2vec-openai'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-openai">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Text2VecOpenAIConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }
 The configuration for the text2vec-openai vectorizer.
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-openai">
- text2VecPalm: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-palm">)
 Create a VectorConfigCreate object with the vectorizer set to 'text2vec-palm'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 
 Deprecated
 Use text2VecGoogle instead.
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-palm">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Text2VecGoogleConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }
 The configuration for the text2vec-palm vectorizer.
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-palm">
- text2VecTransformers: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-transformers">)
 Create a VectorConfigCreate object with the vectorizer set to 'text2vec-transformers'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-transformers">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Text2VecTransformersConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }
 The configuration for the text2vec-transformers vectorizer.
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-transformers">
- text2VecVoyageAI: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-voyageai">)
 Create a VectorConfigCreate object with the vectorizer set to 'text2vec-voyageai'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-voyageai">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Text2VecVoyageAIConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }
 The configuration for the text2vec-voyageai vectorizer.
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-voyageai">
- text2VecWeaviate: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-weaviate">)
 Create a VectorConfigCreate object with the vectorizer set to 'text2vec-weaviate'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-weaviate">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Text2VecWeaviateConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }
 The configuration for the text2vec-weaviate vectorizer.
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-weaviate">
vectors: {
 img2VecNeural: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "img2vec-neural">);
 multi2VecBind: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-bind">);
 multi2VecClip: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-clip">);
 multi2VecCohere: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-cohere">);
 multi2VecGoogle: (<N, I>(opts) => VectorConfigCreate<never, N, I, "multi2vec-google">);
 multi2VecJinaAI: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-jinaai">);
 multi2VecNvidia: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-nvidia">);
 multi2VecVoyageAI: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-voyageai">);
 none: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "none">);
 ref2VecCentroid: (<N, I>(opts) => VectorConfigCreate<never, N, I, "ref2vec-centroid">);
 selfProvided: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "none">);
 text2VecAWS: (<T, N, I>(opts) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-aws">);
 text2VecAzureOpenAI: (<T, N, I>(opts) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-azure-openai">);
 text2VecCohere: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-cohere">);
 text2VecContextionary: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-contextionary">);
 text2VecDatabricks: (<T, N, I>(opts) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-databricks">);
 text2VecGPT4All: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-gpt4all">);
 text2VecGoogle: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-google">);
 text2VecGoogleAiStudio: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-google">);
 text2VecHuggingFace: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-huggingface">);
 text2VecJinaAI: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-jinaai">);
 text2VecMistral: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-mistral">);
 text2VecModel2Vec: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-model2vec">);
 text2VecMorph: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-morph">);
 text2VecNvidia: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-nvidia">);
 text2VecOllama: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-ollama">);
 text2VecOpenAI: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-openai">);
 text2VecTransformers: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-transformers">);
 text2VecVoyageAI: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-voyageai">);
 text2VecWeaviate: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-weaviate">);
}
- img2VecNeural: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "img2vec-neural">)
 Create a VectorConfigCreate object with the vectorizer set to 'img2vec-neural'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <N, I>(opts?): VectorConfigCreate<never, N, I, "img2vec-neural">
 - Type Parameters
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Img2VecNeuralConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 }
 The configuration options for the img2vec-neural vectorizer.
 Returns VectorConfigCreate<never, N, I, "img2vec-neural">
- multi2VecBind: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-bind">)
 - - <N, I>(opts?): VectorConfigCreate<never, N, I, "multi2vec-bind">
 - Type Parameters
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Omit<Multi2VecBindConfig, Multi2VecOmissions> & {
 IMUFields?: string[] | Multi2VecField[];
 audioFields?: string[] | Multi2VecField[];
 depthFields?: string[] | Multi2VecField[];
 imageFields?: string[] | Multi2VecField[];
 textFields?: string[] | Multi2VecField[];
 thermalFields?: string[] | Multi2VecField[];
 videoFields?: string[] | Multi2VecField[];
 } & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 }, "vectorizeCollectionName">
 Returns VectorConfigCreate<never, N, I, "multi2vec-bind">
- multi2VecClip: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-clip">)
 - - <N, I>(opts?): VectorConfigCreate<never, N, I, "multi2vec-clip">
 - Type Parameters
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Omit<Multi2VecClipConfig, Multi2VecOmissions> & {
 imageFields?: string[] | Multi2VecField[];
 textFields?: string[] | Multi2VecField[];
 } & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 }, "vectorizeCollectionName">
 Returns VectorConfigCreate<never, N, I, "multi2vec-clip">
- multi2VecCohere: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-cohere">)
 - - <N, I>(opts?): VectorConfigCreate<never, N, I, "multi2vec-cohere">
 - Type Parameters
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Omit<Multi2VecCohereConfig, Multi2VecOmissions> & {
 imageFields?: string[] | Multi2VecField[];
 textFields?: string[] | Multi2VecField[];
 } & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 }, "vectorizeCollectionName">
 Returns VectorConfigCreate<never, N, I, "multi2vec-cohere">
- multi2VecGoogle: (<N, I>(opts) => VectorConfigCreate<never, N, I, "multi2vec-google">)
 - - <N, I>(opts): VectorConfigCreate<never, N, I, "multi2vec-google">
 - Type Parameters
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 opts: Omit<ConfigureNonTextVectorizerOptions<N, I, "multi2vec-google">, "vectorizeCollectionName"> & {
 model?: string;
 modelId?: undefined;
 }
 Returns VectorConfigCreate<never, N, I, "multi2vec-google">
- multi2VecJinaAI: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-jinaai">)
 - - <N, I>(opts?): VectorConfigCreate<never, N, I, "multi2vec-jinaai">
 - Type Parameters
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Omit<Multi2VecJinaAIConfig, Multi2VecOmissions> & {
 imageFields?: string[] | Multi2VecField[];
 textFields?: string[] | Multi2VecField[];
 } & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 }, "vectorizeCollectionName">
 Returns VectorConfigCreate<never, N, I, "multi2vec-jinaai">
- multi2VecNvidia: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-nvidia">)
 Create a VectorConfigCreate object with the vectorizer set to 'multi2vec-nvidia'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <N, I>(opts?): VectorConfigCreate<never, N, I, "multi2vec-nvidia">
 - Type Parameters
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Multi2VecNvidiaConfig, Multi2VecOmissions> & {
 imageFields?: string[] | Multi2VecField[];
 outputEncoding?: string;
 textFields?: string[] | Multi2VecField[];
 } & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 }
 The configuration options for the multi2vec-nvidia vectorizer.
 Returns VectorConfigCreate<never, N, I, "multi2vec-nvidia">
- multi2VecVoyageAI: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "multi2vec-voyageai">)
 - - <N, I>(opts?): VectorConfigCreate<never, N, I, "multi2vec-voyageai">
 - Type Parameters
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Omit<Multi2VecVoyageAIConfig, Multi2VecOmissions> & {
 imageFields?: string[] | Multi2VecField[];
 textFields?: string[] | Multi2VecField[];
 } & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 }, "vectorizeCollectionName">
 Returns VectorConfigCreate<never, N, I, "multi2vec-voyageai">
- none: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "none">)
 Create a VectorConfigCreate object with the vectorizer set to 'none'.
 
 Returns
 The configuration object.
 
 Deprecated
 Use selfProvided instead.
 - - <N, I>(opts?): VectorConfigCreate<never, N, I, "none">
 - Type Parameters
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 }
 The configuration options for the none vectorizer.
 
 Optional name?: N
 Optional quantizer?: QuantizerConfigCreate
 Optional vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>
 Returns VectorConfigCreate<never, N, I, "none">
- ref2VecCentroid: (<N, I>(opts) => VectorConfigCreate<never, N, I, "ref2vec-centroid">)
 Create a VectorConfigCreate object with the vectorizer set to 'ref2vec-centroid'.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <N, I>(opts): VectorConfigCreate<never, N, I, "ref2vec-centroid">
 - Type Parameters
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 opts: ConfigureNonTextVectorizerOptions<N, I, "ref2vec-centroid">
 The configuration options for the ref2vec-centroid vectorizer.
 Returns VectorConfigCreate<never, N, I, "ref2vec-centroid">
- selfProvided: (<N, I>(opts?) => VectorConfigCreate<never, N, I, "none">)
 Create a VectorConfigCreate object with the vectorizer set to 'none'.
 
 Returns
 The configuration object.
 - - <N, I>(opts?): VectorConfigCreate<never, N, I, "none">
 - Type Parameters
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 }
 The configuration options for the none vectorizer.
 
 Optional name?: N
 Optional quantizer?: QuantizerConfigCreate
 Optional vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>
 Returns VectorConfigCreate<never, N, I, "none">
- text2VecAWS: (<T, N, I>(opts) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-aws">)
 - - <T, N, I>(opts): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-aws">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 opts: Omit<ConfigureTextVectorizerOptions<T, N, I, "text2vec-aws">, "vectorizeCollectionName">
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-aws">
- text2VecAzureOpenAI: (<T, N, I>(opts) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-azure-openai">)
 - - <T, N, I>(opts): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-azure-openai">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 opts: Omit<ConfigureTextVectorizerOptions<T, N, I, "text2vec-azure-openai">, "vectorizeCollectionName">
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-azure-openai">
- text2VecCohere: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-cohere">)
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-cohere">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Text2VecCohereConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }, "vectorizeCollectionName">
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-cohere">
- text2VecContextionary: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-contextionary">)
 Deprecated
 The contextionary model is old and not recommended for use. If you are looking for a local, lightweight model try the new text2vec-model2vec module instead.
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-contextionary">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Text2VecContextionaryConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }, "vectorizeCollectionName">
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-contextionary">
- text2VecDatabricks: (<T, N, I>(opts) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-databricks">)
 - - <T, N, I>(opts): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-databricks">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 opts: Omit<ConfigureTextVectorizerOptions<T, N, I, "text2vec-databricks">, "vectorizeCollectionName">
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-databricks">
- text2VecGPT4All: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-gpt4all">)
 Deprecated
 The text2vec-gpt4all vectorizer is deprecated and will be removed in a future release. See the docs (https://docs.weaviate.io/weaviate/model-providers) for alternatives.
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-gpt4all">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Text2VecGPT4AllConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }, "vectorizeCollectionName">
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-gpt4all">
- text2VecGoogle: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-google">)
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-google">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Text2VecGoogleConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType<(...)>>;
 } & {
 sourceProperties?: PrimitiveKeys<(...)>[];
 }, "vectorizeCollectionName"> & {
 model?: string;
 modelId?: undefined;
 }
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-google">
- text2VecGoogleAiStudio: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-google">)
 Create a VectorConfigCreate object with the vectorizer set to 'text2vec-google' with specific options for AI studio deployments.
 
 See the documentation for detailed usage.
 
 Returns
 The configuration object.
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-google">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Text2VecGoogleAiStudioConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }
 The configuration for the text2vec-google vectorizer.
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-google">
- text2VecHuggingFace: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-huggingface">)
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-huggingface">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Text2VecHuggingFaceConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }, "vectorizeCollectionName">
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-huggingface">
- text2VecJinaAI: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-jinaai">)
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-jinaai">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Text2VecJinaAIConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }, "vectorizeCollectionName">
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-jinaai">
- text2VecMistral: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-mistral">)
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-mistral">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Text2VecMistralConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }, "vectorizeCollectionName">
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-mistral">
- text2VecModel2Vec: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-model2vec">)
 Create a VectorConfigCreate object with the vectorizer set to 'text2vec-model2vec'.
 
 Returns
 The configuration object.
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-model2vec">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Text2VecModel2Vec & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }
 The configuration for the text2vec-model2vec vectorizer.
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-model2vec">
- text2VecMorph: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-morph">)
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-morph">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Text2VecMorphConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-morph">
- text2VecNvidia: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-nvidia">)
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-nvidia">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Text2VecNvidiaConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }, "vectorizeCollectionName">
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-nvidia">
- text2VecOllama: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-ollama">)
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-ollama">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Text2VecOllamaConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }, "vectorizeCollectionName">
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-ollama">
- text2VecOpenAI: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-openai">)
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-openai">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Text2VecOpenAIConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }, "vectorizeCollectionName">
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-openai">
- text2VecTransformers: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-transformers">)
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-transformers">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Text2VecTransformersConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }, "vectorizeCollectionName">
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-transformers">
- text2VecVoyageAI: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-voyageai">)
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-voyageai">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Text2VecVoyageAIConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }, "vectorizeCollectionName">
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-voyageai">
- text2VecWeaviate: (<T, N, I>(opts?) => VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-weaviate">)
 - - <T, N, I>(opts?): VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-weaviate">
 - Type Parameters
 T
 N extends undefined | string = undefined
 I extends string = "hnsw"
 Parameters
 Optional opts: Omit<Text2VecWeaviateConfig & {
 name?: N;
 quantizer?: QuantizerConfigCreate;
 vectorIndexConfig?: ModuleConfig<I, VectorIndexConfigCreateType>;
 } & {
 sourceProperties?: PrimitiveKeys<T>[];
 }, "vectorizeCollectionName">
 Returns VectorConfigCreate<PrimitiveKeys<T>, N, I, "text2vec-weaviate">

Variable configureConst

Type declaration

BLOB: "blob"

BOOLEAN: "boolean"

BOOLEAN_ARRAY: "boolean[]"

DATE: "date"

DATE_ARRAY: "date[]"

GEO_COORDINATES: "geoCoordinates"

INT: "int"

INT_ARRAY: "int[]"

NUMBER: "number"

NUMBER_ARRAY: "number[]"

OBJECT: "object"

OBJECT_ARRAY: "object[]"

PHONE_NUMBER: "phoneNumber"

TEXT: "text"

TEXT_ARRAY: "text[]"

UUID: "uuid"

UUID_ARRAY: "uuid[]"

azureOpenAI: ((config) => ModuleConfig<"generative-openai", GenerativeAzureOpenAIConfig>)

Returns

Parameters

Returns ModuleConfig<"generative-openai", GenerativeAzureOpenAIConfig>

cohere: ((config?) => ModuleConfig<"generative-cohere", undefined | GenerativeCohereConfig>)

Returns

Parameters

Returns ModuleConfig<"generative-cohere", undefined | GenerativeCohereConfig>

databricks: ((config) => ModuleConfig<"generative-databricks", GenerativeDatabricksConfig>)

Returns

Parameters

Returns ModuleConfig<"generative-databricks", GenerativeDatabricksConfig>

google: ((config?) => ModuleConfig<"generative-google", undefined | GenerativeGoogleConfig>)

Returns

Parameters

Returns ModuleConfig<"generative-google", undefined | GenerativeGoogleConfig>

openAI: ((config?) => ModuleConfig<"generative-openai", undefined | GenerativeOpenAIConfig>)

Returns

Parameters

Returns ModuleConfig<"generative-openai", undefined | GenerativeOpenAIConfig>

palm: ((config?) => ModuleConfig<"generative-palm", undefined | GenerativeGoogleConfig>)

Returns

Deprecated

Parameters

Returns ModuleConfig<"generative-palm", undefined | GenerativeGoogleConfig>

xai: ((config?) => ModuleConfig<"generative-xai", undefined | GenerativeXAIConfig>)

Returns

Parameters

Returns ModuleConfig<"generative-xai", undefined | GenerativeXAIConfig>

anthropic:function

Parameters

Returns ModuleConfig<"generative-anthropic", undefined | GenerativeAnthropicConfig>

anyscale:function

Parameters

Returns ModuleConfig<"generative-anyscale", undefined | GenerativeAnyscaleConfig>

aws:function

Parameters

Returns ModuleConfig<"generative-aws", GenerativeAWSConfig>

friendliai:function

Parameters

Returns ModuleConfig<"generative-friendliai", undefined | GenerativeFriendliAIConfig>

mistral:function

Parameters

Returns ModuleConfig<"generative-mistral", undefined | GenerativeMistralConfig>

nvidia:function

Parameters

Returns ModuleConfig<"generative-nvidia", undefined | GenerativeNvidiaConfig>

ollama:function

Parameters

Returns ModuleConfig<"generative-ollama", undefined | GenerativeOllamaConfig>

invertedIndex: ((options) => { bm25?: { b?: number; k1?: number; }; cleanupIntervalSeconds?: number; indexNullState?: boolean; indexPropertyLength?: boolean; indexTimestamps?: boolean; stopwords?: { additions?: (undefined | string)[]; preset?: string; removals?: (undefined | string)[]; }; })

Parameters

Optional bm25b?: number

Optional bm25k1?: number

Optional cleanupIntervalSeconds?: number

Optional indexNullState?: boolean

Optional indexPropertyLength?: boolean

Optional indexTimestamps?: boolean

Optional stopwordsAdditions?: string[]

Optional stopwordsPreset?: "none" | "en"

Optional stopwordsRemovals?: string[]

Variable configure`Const`

invertedIndex: ((options) => {
bm25?: {
b?: number;
k1?: number;
};
cleanupIntervalSeconds?: number;
indexNullState?: boolean;
indexPropertyLength?: boolean;
indexTimestamps?: boolean;
stopwords?: {
additions?: (undefined | string)[];
preset?: string;
removals?: (undefined | string)[];
};
})

`Optional` bm25b?: number

`Optional` bm25k1?: number

`Optional` cleanupIntervalSeconds?: number

`Optional` indexNullState?: boolean

`Optional` indexPropertyLength?: boolean

`Optional` indexTimestamps?: boolean

`Optional` stopwordsAdditions?: string[]

`Optional` stopwordsPreset?: "none" | "en"

`Optional` stopwordsRemovals?: string[]

Returns {
bm25?: {
b?: number;
k1?: number;
};
cleanupIntervalSeconds?: number;
indexNullState?: boolean;
indexPropertyLength?: boolean;
indexTimestamps?: boolean;
stopwords?: {
additions?: (undefined | string)[];
preset?: string;
removals?: (undefined | string)[];
};
}

`Optional` bm25?: {
b?: number;
k1?: number;
}

`Optional` b?: number

`Optional` k1?: number

`Optional` cleanupIntervalSeconds?: number

`Optional` indexNullState?: boolean

`Optional` indexPropertyLength?: boolean

`Optional` indexTimestamps?: boolean

`Optional` stopwords?: {
additions?: (undefined | string)[];
preset?: string;
removals?: (undefined | string)[];
}

`Optional` additions?: (undefined | string)[]

`Optional` preset?: string

`Optional` removals?: (undefined | string)[]

multiTenancy: ((options?) => {
autoTenantActivation?: boolean;
autoTenantCreation?: boolean;
enabled?: boolean;
})

`Optional` autoTenantActivation?: boolean

`Optional` autoTenantCreation?: boolean

`Optional` enabled?: boolean

Returns {
autoTenantActivation?: boolean;
autoTenantCreation?: boolean;
enabled?: boolean;
}

`Optional` autoTenantActivation?: boolean

`Optional` autoTenantCreation?: boolean

`Optional` enabled?: boolean

replication: ((options) => {
asyncEnabled?: boolean;
deletionStrategy?: ReplicationDeletionStrategy;
factor?: number;
})

`Optional` asyncEnabled?: boolean

`Optional` deletionStrategy?: ReplicationDeletionStrategy

`Optional` factor?: number

Returns {
asyncEnabled?: boolean;
deletionStrategy?: ReplicationDeletionStrategy;
factor?: number;
}

`Optional` asyncEnabled?: boolean

`Optional` deletionStrategy?: ReplicationDeletionStrategy

`Optional` factor?: number