import { ModuleConfig, PQEncoderDistribution, PQEncoderType, UncompressedConfig } from '../config/types/index.js';
import { BQConfigCreate, BQConfigUpdate, MultiVectorConfigCreate, MuveraEncodingConfigCreate, PQConfigCreate, PQConfigUpdate, RQConfigCreate, RQConfigUpdate, SQConfigCreate, SQConfigUpdate, VectorIndexConfigDynamicCreate, VectorIndexConfigDynamicCreateOptions, VectorIndexConfigDynamicUpdate, VectorIndexConfigFlatCreate, VectorIndexConfigFlatCreateOptions, VectorIndexConfigFlatUpdate, VectorIndexConfigHFreshCreate, VectorIndexConfigHFreshCreateOptions, VectorIndexConfigHFreshUpdate, VectorIndexConfigHNSWCreate, VectorIndexConfigHNSWCreateOptions, VectorIndexConfigHNSWUpdate } from './types/index.js';
declare const configure: {
    /**
     * 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.
     *
     * @param {VectorIndexConfigFlatCreateOptions} [opts] The options available for configuring the flat vector index.
     * @returns {ModuleConfig<'flat', VectorIndexConfigFlatCreate | undefined>} The configuration object.
     */
    flat: (opts?: VectorIndexConfigFlatCreateOptions) => ModuleConfig<"flat", VectorIndexConfigFlatCreate | undefined>;
    /**
     * 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.
     *
     * @param {VectorIndexConfigHNSWCreateOptions} [opts] The options available for configuring the HNSW vector index.
     * @returns {ModuleConfig<'hnsw', VectorIndexConfigHNSWCreate | undefined>} The configuration object.
     */
    hnsw: (opts?: VectorIndexConfigHNSWCreateOptions) => ModuleConfig<"hnsw", VectorIndexConfigHNSWCreate | undefined>;
    /**
     * Create a `ModuleConfig<'hfresh', VectorIndexConfigHFreshCreate | undefined>` object when defining the configuration of the HFresh vector index.
     *
     * Use this method when defining the `options.vectorIndexConfig` argument of the `configure.vectors` method.
     *
     * @param {VectorIndexConfigHFreshCreateOptions} [opts] The options available for configuring the HFresh vector index.
     * @returns {ModuleConfig<'HFresh', VectorIndexConfigHFreshCreate | undefined>} The configuration object.
     */
    hfresh: (opts?: VectorIndexConfigHFreshCreateOptions) => ModuleConfig<"hfresh", VectorIndexConfigHFreshCreate | undefined>;
    /**
     * 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.
     *
     * @param {VectorIndexConfigDynamicCreateOptions} [opts] The options available for configuring the dynamic vector index.
     * @returns {ModuleConfig<'dynamic', VectorIndexConfigDynamicCreate | undefined>} The configuration object.
     */
    dynamic: (opts?: VectorIndexConfigDynamicCreateOptions) => ModuleConfig<"dynamic", VectorIndexConfigDynamicCreate | undefined>;
    /**
     * Define the configuration for a multi-vector index.
     */
    multiVector: {
        /**
         * Specify the encoding configuration for a multi-vector index.
         */
        encoding: {
            /**
             * Create an object of type `MuveraEncodingConfigCreate` to be used when defining the encoding configuration of a multi-vector index using MUVERA.
             *
             * @param {number} [options.ksim] The number of nearest neighbors to consider for similarity. Default is undefined.
             * @param {number} [options.dprojections] The number of projections to use. Default is undefined.
             * @param {number} [options.repetitions] The number of repetitions to use. Default is undefined.
             * @returns {MuveraEncodingConfigCreate} The object of type `MuveraEncodingConfigCreate`.
             */
            muvera: (options?: {
                ksim?: number;
                dprojections?: number;
                repetitions?: number;
            }) => MuveraEncodingConfigCreate;
        };
        /**
         * Create an object of type `MultiVectorConfigCreate` to be used when defining the configuration of a multi-vector index.
         *
         * @param {string} [options.aggregation] The aggregation method to use. Default is 'maxSim'.
         * @param {MultiVectorConfig['encoding']} [options.encoding] The encoding configuration for the multi-vector index. Default is undefined.
         * @returns {MultiVectorConfigCreate} The object of type `MultiVectorConfigCreate`.
         */
        multiVector: (options?: {
            aggregation?: "maxSim" | string;
            encoding?: MultiVectorConfigCreate["encoding"];
        }) => MultiVectorConfigCreate;
    };
    /**
     * Define the quantizer configuration to use when creating a vector index.
     */
    quantizer: {
        /**
         * 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 {UncompressedConfig} The object of type `UncompressedConfig`.
         */
        none: () => UncompressedConfig;
        /**
         * Create an object of type `BQConfigCreate` to be used when defining the quantizer configuration of a vector index.
         *
         * @param {boolean} [options.cache] Whether to cache the quantizer. Default is false.
         * @param {number} [options.rescoreLimit] The rescore limit. Default is 1000.
         * @returns {BQConfigCreate} The object of type `BQConfigCreate`.
         */
        bq: (options?: {
            cache?: boolean;
            rescoreLimit?: number;
        }) => BQConfigCreate;
        /**
         * Create an object of type `RQConfigCreate` to be used when defining the quantizer configuration of a vector index.
         *
         * @param {number} [options.bits] Number of bits to user per vector element.
         * @param {number} [options.rescoreLimit] The rescore limit. Default is 1000.
         * @returns {RQConfigCreate} The object of type `RQConfigCreate`.
         */
        rq: (options?: {
            bits?: number;
            rescoreLimit?: number;
        }) => RQConfigCreate;
        /**
         * Create an object of type `PQConfigCreate` to be used when defining the quantizer configuration of a vector index.
         *
         * @param {boolean} [options.bitCompression] Whether to use bit compression.
         * @param {number} [options.centroids] The number of centroids.
         * @param {PQEncoderDistribution} [options.encoder.distribution] The encoder distribution.
         * @param {PQEncoderType} [options.encoder.type] The encoder type.
         * @param {number} [options.segments] The number of segments.
         * @param {number} [options.trainingLimit] The training limit.
         * @returns {PQConfigCreate} The object of type `PQConfigCreate`.
         */
        pq: (options?: {
            bitCompression?: boolean;
            centroids?: number;
            encoder?: {
                distribution?: PQEncoderDistribution;
                type?: PQEncoderType;
            };
            segments?: number;
            trainingLimit?: number;
        }) => PQConfigCreate;
        /**
         * Create an object of type `SQConfigCreate` to be used when defining the quantizer configuration of a vector index.
         *
         * @param {number} [options.rescoreLimit] The rescore limit.
         * @param {number} [options.trainingLimit] The training limit.
         * @returns {SQConfigCreate} The object of type `SQConfigCreate`.
         */
        sq: (options?: {
            rescoreLimit?: number;
            trainingLimit?: number;
        }) => SQConfigCreate;
    };
};
declare const reconfigure: {
    /**
     * Create a `ModuleConfig<'flat', VectorIndexConfigFlatUpdate>` object to update the configuration of the FLAT vector index.
     *
     * Use this method when defining the `options.vectorIndexConfig` argument of the `reconfigure.vectors` method.
     *
     * @param {VectorDistance} [options.distanceMetric] The distance metric to use. Default is 'cosine'.
     * @param {number} [options.vectorCacheMaxObjects] The maximum number of objects to cache in the vector cache. Default is 1000000000000.
     * @param {BQConfigCreate} [options.quantizer] The quantizer configuration to use. Default is `bq`.
     * @returns {ModuleConfig<'flat', VectorIndexConfigFlatUpdate>} The configuration object.
     */
    flat: (options: VectorIndexConfigFlatUpdate) => ModuleConfig<"flat", VectorIndexConfigFlatUpdate>;
    /**
     * Create a `ModuleConfig<'hfresh', VectorIndexConfigHFreshUpdate>` object to update the configuration of the HFRESH vector index.
     *
     * Use this method when defining the `options.vectorIndexConfig` argument of the `reconfigure.vectors` method.
     *
     * @param {number} [options.maxPostingSizeKb] Maximum posting size in KB. Default is 48.
     * @param {number} [options.searchProbe] The number of postings read during each search. Default is 64.
     * @returns {ModuleConfig<'hfresh', VectorIndexConfigHFreshUpdate>} The configuration object.
     */
    hfresh: (options: VectorIndexConfigHFreshUpdate) => ModuleConfig<"hfresh", VectorIndexConfigHFreshUpdate>;
    /**
     * Create a `ModuleConfig<'hnsw', VectorIndexConfigHNSWCreate>` object to update the configuration of the HNSW vector index.
     *
     * Use this method when defining the `options.vectorIndexConfig` argument of the `reconfigure.vectors` method.
     *
     * @param {number} [options.dynamicEfFactor] The dynamic ef factor. Default is 8.
     * @param {number} [options.dynamicEfMax] The dynamic ef max. Default is 500.
     * @param {number} [options.dynamicEfMin] The dynamic ef min. Default is 100.
     * @param {number} [options.ef] The ef parameter. Default is -1.
     * @param {VectorIndexFilterStrategy} [options.filterStrategy] The filter strategy. Default is 'sweeping'.
     * @param {number} [options.flatSearchCutoff] The flat search cutoff. Default is 40000.
     * @param {QuantizerConfigUpdate} [options.quantizer] The quantizer configuration to use. Use `vectorIndex.quantizer.bq` or `vectorIndex.quantizer.pq` to make one.
     * @param {number} [options.vectorCacheMaxObjects] The maximum number of objects to cache in the vector cache. Default is 1000000000000.
     * @returns {ModuleConfig<'hnsw', VectorIndexConfigHNSWUpdate>} The configuration object.
     */
    hnsw: (options: VectorIndexConfigHNSWUpdate) => ModuleConfig<"hnsw", VectorIndexConfigHNSWUpdate>;
    /**
     * Create a `ModuleConfig<'dynamic', VectorIndexConfigDynamicUpdate | undefined>` object when defining the configuration of the dynamic vector index.
     *
     * @param {VectorIndexConfigDynamicUpdate} [opts] The options available for reconfiguring the dynamic vector index.
     * @returns {ModuleConfig<'dynamic', VectorIndexConfigDynamicUpdate | undefined>} The new configuration object.
     */
    dynamic: (opts: VectorIndexConfigDynamicUpdate) => ModuleConfig<"dynamic", VectorIndexConfigDynamicUpdate>;
    /**
     * Define the quantizer configuration to use when creating a vector index.
     */
    quantizer: {
        /**
         * Create an object of type `BQConfigUpdate` to be used when updating the quantizer configuration of a vector index.
         *
         * NOTE: If the vector index already has a quantizer configured, you cannot change its quantizer type; only its values.
         * So if you want to change the quantizer type, you must recreate the collection.
         *
         * @param {boolean} [options.cache] Whether to cache the quantizer.
         * @param {number} [options.rescoreLimit] The new rescore limit.
         * @returns {BQConfigUpdate} The configuration object.
         */
        bq: (options?: {
            cache?: boolean;
            rescoreLimit?: number;
        }) => BQConfigUpdate;
        /**
         * Create an object of type `RQConfigUpdate` to be used when updating the quantizer configuration of a vector index.
         *
         * NOTE: If the vector index already has a quantizer configured, you cannot change its quantizer type; only its values.
         * So if you want to change the quantizer type, you must recreate the collection.
         *
         * @param {number} [options.rescoreLimit] The new rescore limit.
         * @returns {RQConfigUpdate} The configuration object.
         */
        rq: (options?: {
            rescoreLimit?: number;
        }) => RQConfigUpdate;
        /**
         * Create an object of type `PQConfigUpdate` to be used when updating the quantizer configuration of a vector index.
         *
         * NOTE: If the vector index already has a quantizer configured, you cannot change its quantizer type; only its values.
         * So if you want to change the quantizer type, you must recreate the collection.
         *
         * @param {number} [options.centroids] The new number of centroids.
         * @param {PQEncoderDistribution} [options.pqEncoderDistribution] The new encoder distribution.
         * @param {PQEncoderType} [options.pqEncoderType] The new encoder type.
         * @param {number} [options.segments] The new number of segments.
         * @param {number} [options.trainingLimit] The new training limit.
         * @returns {PQConfigUpdate} The configuration object.
         */
        pq: (options?: {
            centroids?: number;
            pqEncoderDistribution?: PQEncoderDistribution;
            pqEncoderType?: PQEncoderType;
            segments?: number;
            trainingLimit?: number;
        }) => PQConfigUpdate;
        /**
         * Create an object of type `SQConfigUpdate` to be used when updating the quantizer configuration of a vector index.
         *
         * NOTE: If the vector index already has a quantizer configured, you cannot change its quantizer type; only its values.
         * So if you want to change the quantizer type, you must recreate the collection.
         *
         * @param {number} [options.rescoreLimit] The rescore limit.
         * @param {number} [options.trainingLimit] The training limit.
         * @returns {SQConfigUpdate} The configuration object.
         */
        sq: (options?: {
            rescoreLimit?: number;
            trainingLimit?: number;
        }) => SQConfigUpdate;
    };
};
export { configure, reconfigure };