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Class: VectorStoreIndex

The VectorStoreIndex, an index that stores the nodes only according to their vector embeddings.

Extends​

Properties​

docStore​

docStore: BaseDocumentStore

Inherited from​

BaseIndex.docStore

Defined in​

packages/llamaindex/src/indices/BaseIndex.ts:27

embedModel?​

optional embedModel: BaseEmbedding

Defined in​

packages/llamaindex/src/indices/vectorStore/index.ts:66

indexStore​

indexStore: BaseIndexStore

Overrides​

BaseIndex.indexStore

Defined in​

packages/llamaindex/src/indices/vectorStore/index.ts:65

indexStruct​

indexStruct: IndexDict

Inherited from​

BaseIndex.indexStruct

Defined in​

packages/llamaindex/src/indices/BaseIndex.ts:29

serviceContext?​

optional serviceContext: ServiceContext

Inherited from​

BaseIndex.serviceContext

Defined in​

packages/llamaindex/src/indices/BaseIndex.ts:25

storageContext​

storageContext: StorageContext

Inherited from​

BaseIndex.storageContext

Defined in​

packages/llamaindex/src/indices/BaseIndex.ts:26

vectorStores​

vectorStores: VectorStoreByType

Defined in​

packages/llamaindex/src/indices/vectorStore/index.ts:67

Methods​

asQueryEngine()​

asQueryEngine(options?): RetrieverQueryEngine

Create a RetrieverQueryEngine. similarityTopK is only used if no existing retriever is provided.

Parameters​

• options?

• options.nodePostprocessors?: BaseNodePostprocessor[]

• options.preFilters?: MetadataFilters

• options.responseSynthesizer?: BaseSynthesizer

• options.retriever?: BaseRetriever

• options.similarityTopK?: number

Returns​

RetrieverQueryEngine

Overrides​

BaseIndex.asQueryEngine

Defined in​

packages/llamaindex/src/indices/vectorStore/index.ts:285

asRetriever()​

asRetriever(options?): VectorIndexRetriever

Create a new retriever from the index.

Parameters​

• options?: Omit<object & object, "index"> | Omit<object & object, "index">

Returns​

VectorIndexRetriever

Overrides​

BaseIndex.asRetriever

Defined in​

packages/llamaindex/src/indices/vectorStore/index.ts:275

buildIndexFromNodes()​

buildIndexFromNodes(nodes, options?): Promise<void>

Get embeddings for nodes and place them into the index.

Parameters​

• nodes: BaseNode<Metadata>[]

• options?

• options.logProgress?: boolean

Returns​

Promise<void>

Defined in​

packages/llamaindex/src/indices/vectorStore/index.ts:186

deleteRefDoc()​

deleteRefDoc(refDocId, deleteFromDocStore): Promise<void>

Parameters​

• refDocId: string

• deleteFromDocStore: boolean = true

Returns​

Promise<void>

Overrides​

BaseIndex.deleteRefDoc

Defined in​

packages/llamaindex/src/indices/vectorStore/index.ts:346

deleteRefDocFromStore()​

protected deleteRefDocFromStore(vectorStore, refDocId): Promise<void>

Parameters​

• vectorStore: BaseVectorStore<unknown>

• refDocId: string

Returns​

Promise<void>

Defined in​

packages/llamaindex/src/indices/vectorStore/index.ts:358

getNodeEmbeddingResults()​

getNodeEmbeddingResults(nodes, options?): Promise<BaseNode<Metadata>[]>

Calculates the embeddings for the given nodes.

Parameters​

• nodes: BaseNode<Metadata>[]

An array of BaseNode objects representing the nodes for which embeddings are to be calculated.

• options?

An optional object containing additional parameters.

• options.logProgress?: boolean

A boolean indicating whether to log progress to the console (useful for debugging).

Returns​

Promise<BaseNode<Metadata>[]>

Defined in​

packages/llamaindex/src/indices/vectorStore/index.ts:163

insert()​

insert(document): Promise<void>

Insert a document into the index.

Parameters​

• document: Document<Metadata>

Returns​

Promise<void>

Inherited from​

BaseIndex.insert

Defined in​

packages/llamaindex/src/indices/BaseIndex.ts:60

insertNodes()​

insertNodes(nodes, options?): Promise<void>

Parameters​

• nodes: BaseNode<Metadata>[]

• options?

• options.logProgress?: boolean

Returns​

Promise<void>

Overrides​

BaseIndex.insertNodes

Defined in​

packages/llamaindex/src/indices/vectorStore/index.ts:330

insertNodesToStore()​

protected insertNodesToStore(newIds, nodes, vectorStore): Promise<void>

Parameters​

• newIds: string[]

• nodes: BaseNode<Metadata>[]

• vectorStore: BaseVectorStore<unknown>

Returns​

Promise<void>

Defined in​

packages/llamaindex/src/indices/vectorStore/index.ts:306

fromDocuments()​

static fromDocuments(documents, args): Promise<VectorStoreIndex>

High level API: split documents, get embeddings, and build index.

Parameters​

• documents: Document<Metadata>[]

• args: VectorIndexOptions & object = {}

Returns​

Promise<VectorStoreIndex>

Defined in​

packages/llamaindex/src/indices/vectorStore/index.ts:199

fromVectorStore()​

static fromVectorStore(vectorStore, serviceContext?): Promise<VectorStoreIndex>

Parameters​

• vectorStore: BaseVectorStore<unknown>

• serviceContext?: ServiceContext

Returns​

Promise<VectorStoreIndex>

Defined in​

packages/llamaindex/src/indices/vectorStore/index.ts:265

fromVectorStores()​

static fromVectorStores(vectorStores, serviceContext?): Promise<VectorStoreIndex>

Parameters​

• vectorStores: VectorStoreByType

• serviceContext?: ServiceContext

Returns​

Promise<VectorStoreIndex>

Defined in​

packages/llamaindex/src/indices/vectorStore/index.ts:242

init()​

static init(options): Promise<VectorStoreIndex>

The async init function creates a new VectorStoreIndex.

Parameters​

• options: VectorIndexOptions

Returns​

Promise<VectorStoreIndex>

Defined in​

packages/llamaindex/src/indices/vectorStore/index.ts:81