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llamaindex

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<p align="center"> <img height="100" width="100" alt="LlamaIndex logo" src="https://ts.llamaindex.ai/square.svg" /> </p> <h1 align="center">LlamaIndex.TS</h1> <h3 align="center"> Data framework for your LLM application. </h3>

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import * as _llamaindex_core_schema from '@llamaindex/core/schema'; import { BaseNode, TransformComponent, Document, BaseReader, Metadata } from '@llamaindex/core/schema'; import { BaseKVStore } from '@llamaindex/core/storage/kv-store'; import { BaseDocumentStore } from '@llamaindex/core/storage/doc-store'; import { BaseVectorStore, VectorStoreByType } from '@llamaindex/core/vector-store'; declare function getTransformationHash(nodes: BaseNode[], transform: TransformComponent): string; declare class IngestionCache { collection: string; cache: BaseKVStore; nodesKey: string; constructor(collection?: string); put(hash: string, nodes: BaseNode[]): Promise<void>; get(hash: string): Promise<BaseNode[] | undefined>; } declare class RollbackableTransformComponent extends TransformComponent { rollback(docStore: BaseDocumentStore, nodes: BaseNode[]): Promise<void>; } /** * Handle doc store duplicates by checking all hashes. */ declare class DuplicatesStrategy extends RollbackableTransformComponent { private docStore; constructor(docStore: BaseDocumentStore); } /** * Handle docstore upserts by checking hashes and ids. * Identify missing docs and delete them from docstore and vector store */ declare class UpsertsAndDeleteStrategy extends RollbackableTransformComponent { protected docStore: BaseDocumentStore; protected vectorStores: BaseVectorStore[] | undefined; constructor(docStore: BaseDocumentStore, vectorStores?: BaseVectorStore[]); } /** * Handles doc store upserts by checking hashes and ids. */ declare class UpsertsStrategy extends RollbackableTransformComponent { protected docStore: BaseDocumentStore; protected vectorStores: BaseVectorStore[] | undefined; constructor(docStore: BaseDocumentStore, vectorStores?: BaseVectorStore[]); } declare function classify(docStore: BaseDocumentStore, nodes: BaseNode[]): Promise<{ dedupedNodes: BaseNode<_llamaindex_core_schema.Metadata>[]; missingDocs: string[]; unusedDocs: string[]; }>; /** * Document de-deduplication strategies work by comparing the hashes or ids stored in the document store. * They require a document store to be set which must be persisted across pipeline runs. */ declare enum DocStoreStrategy { UPSERTS = "upserts", DUPLICATES_ONLY = "duplicates_only", UPSERTS_AND_DELETE = "upserts_and_delete", NONE = "none" } declare function createDocStoreStrategy(docStoreStrategy: DocStoreStrategy, docStore?: BaseDocumentStore, vectorStores?: BaseVectorStore[]): RollbackableTransformComponent; type TransformRunArgs = { inPlace?: boolean; cache?: IngestionCache; docStoreStrategy?: TransformComponent; }; declare function runTransformations(nodesToRun: BaseNode[], transformations: TransformComponent[], transformOptions?: any, { inPlace, cache, docStoreStrategy }?: TransformRunArgs): Promise<BaseNode[]>; declare class IngestionPipeline { transformations: TransformComponent[]; documents?: Document[] | undefined; reader?: BaseReader | undefined; vectorStore?: BaseVectorStore | undefined; vectorStores?: VectorStoreByType | undefined; docStore?: BaseDocumentStore; docStoreStrategy: DocStoreStrategy; cache?: IngestionCache | undefined; disableCache: boolean; private _docStoreStrategy?; constructor(init?: Partial<IngestionPipeline>); prepareInput(documents?: Document[], nodes?: BaseNode[]): Promise<BaseNode[]>; run(args?: any, transformOptions?: any): Promise<BaseNode[]>; } declare function addNodesToVectorStores(nodes: BaseNode<Metadata>[], vectorStores: VectorStoreByType, nodesAdded?: (newIds: string[], nodes: BaseNode<Metadata>[], vectorStore: BaseVectorStore) => Promise<void>): Promise<void>; export { DocStoreStrategy, DuplicatesStrategy, IngestionCache, IngestionPipeline, RollbackableTransformComponent, UpsertsAndDeleteStrategy, UpsertsStrategy, addNodesToVectorStores, classify, createDocStoreStrategy, getTransformationHash, runTransformations };