Class: VectorStoreIndex

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

Hierarchy

• BaseIndex<IndexDict>

  ↳ VectorStoreIndex

Constructors

constructor

• Private new VectorStoreIndex(init)

Parameters

Name	Type
init	VectorIndexConstructorProps

Overrides

BaseIndex.constructor

Defined in

packages/core/src/indices/vectorStore/VectorStoreIndex.ts:64

Properties

docStore

• docStore: BaseDocumentStore

Inherited from

BaseIndex.docStore

Defined in

packages/core/src/indices/BaseIndex.ts:156

---

embedModel

• embedModel: BaseEmbedding

Defined in

packages/core/src/indices/vectorStore/VectorStoreIndex.ts:60

---

imageEmbedModel

• Optional imageEmbedModel: MultiModalEmbedding

Defined in

packages/core/src/indices/vectorStore/VectorStoreIndex.ts:62

---

imageVectorStore

• Optional imageVectorStore: VectorStore

Defined in

packages/core/src/indices/vectorStore/VectorStoreIndex.ts:61

---

indexStore

• indexStore: BaseIndexStore

Overrides

BaseIndex.indexStore

Defined in

packages/core/src/indices/vectorStore/VectorStoreIndex.ts:59

---

indexStruct

• indexStruct: IndexDict

Inherited from

BaseIndex.indexStruct

Defined in

packages/core/src/indices/BaseIndex.ts:159

---

serviceContext

• serviceContext: ServiceContext

Inherited from

BaseIndex.serviceContext

Defined in

packages/core/src/indices/BaseIndex.ts:154

---

storageContext

• storageContext: StorageContext

Inherited from

BaseIndex.storageContext

Defined in

packages/core/src/indices/BaseIndex.ts:155

---

vectorStore

• vectorStore: VectorStore

Overrides

BaseIndex.vectorStore

Defined in

packages/core/src/indices/vectorStore/VectorStoreIndex.ts:58

Methods

asQueryEngine

▸ asQueryEngine(options?): BaseQueryEngine

Create a new query engine from the index. It will also create a retriever and response synthezier if they are not provided.

Parameters

Name	Type	Description
options?	Object	you can supply your own custom Retriever and ResponseSynthesizer
options.nodePostprocessors?	BaseNodePostprocessor[]	-
options.preFilters?	unknown	-
options.responseSynthesizer?	BaseSynthesizer	-
options.retriever?	BaseRetriever	-

Returns

BaseQueryEngine

Overrides

BaseIndex.asQueryEngine

Defined in

packages/core/src/indices/vectorStore/VectorStoreIndex.ts:263

---

asRetriever

▸ asRetriever(options?): VectorIndexRetriever

Create a new retriever from the index.

Parameters

Name	Type
options?	any

Returns

VectorIndexRetriever

Overrides

BaseIndex.asRetriever

Defined in

packages/core/src/indices/vectorStore/VectorStoreIndex.ts:259

---

buildIndexFromNodes

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

Get embeddings for nodes and place them into the index.

Parameters

Name	Type
nodes	BaseNode<Metadata>[]
options?	Object
options.logProgress?	boolean

Returns

Promise<void>

Defined in

packages/core/src/indices/vectorStore/VectorStoreIndex.ts:184

---

deleteRefDoc

▸ deleteRefDoc(refDocId, deleteFromDocStore?): Promise<void>

Parameters

Name	Type	Default value
refDocId	string	undefined
deleteFromDocStore	boolean	true

Returns

Promise<void>

Overrides

BaseIndex.deleteRefDoc

Defined in

packages/core/src/indices/vectorStore/VectorStoreIndex.ts:332

---

deleteRefDocFromStore

▸ Protected deleteRefDocFromStore(vectorStore, refDocId): Promise<void>

Parameters

Name	Type
vectorStore	VectorStore
refDocId	string

Returns

Promise<void>

Defined in

packages/core/src/indices/vectorStore/VectorStoreIndex.ts:346

---

getImageNodeEmbeddingResults

▸ getImageNodeEmbeddingResults(nodes, options?): Promise<ImageNode<Metadata>[]>

Calculates the embeddings for the given image nodes.

Parameters

Name	Type	Description
nodes	ImageNode<Metadata>[]	An array of ImageNode objects representing the nodes for which embeddings are to be calculated.
options?	Object	An optional object containing additional parameters.
options.logProgress?	boolean	A boolean indicating whether to log progress to the console (useful for debugging).

Returns

Promise<ImageNode<Metadata>[]>

Defined in

packages/core/src/indices/vectorStore/VectorStoreIndex.ts:372

---

getNodeEmbeddingResults

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

Calculates the embeddings for the given nodes.

Parameters

Name	Type	Description
nodes	BaseNode<Metadata>[]	An array of BaseNode objects representing the nodes for which embeddings are to be calculated.
options?	Object	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/core/src/indices/vectorStore/VectorStoreIndex.ts:159

---

insert

▸ insert(document): Promise<void>

Insert a document into the index.

Parameters

Name	Type
document	Document<Metadata>

Returns

Promise<void>

Inherited from

BaseIndex.insert

Defined in

packages/core/src/indices/BaseIndex.ts:190

---

insertNodes

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

Parameters

Name	Type
nodes	BaseNode<Metadata>[]
options?	Object
options.logProgress?	boolean

Returns

Promise<void>

Overrides

BaseIndex.insertNodes

Defined in

packages/core/src/indices/vectorStore/VectorStoreIndex.ts:303

---

insertNodesToStore

▸ Protected insertNodesToStore(vectorStore, nodes): Promise<void>

Parameters

Name	Type
vectorStore	VectorStore
nodes	BaseNode<Metadata>[]

Returns

Promise<void>

Defined in

packages/core/src/indices/vectorStore/VectorStoreIndex.ts:278

---

fromDocuments

▸ Static fromDocuments(documents, args?): Promise<VectorStoreIndex>

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

Parameters

Name	Type
documents	Document<Metadata>[]
args	VectorIndexOptions

Returns

Promise<VectorStoreIndex>

Defined in

packages/core/src/indices/vectorStore/VectorStoreIndex.ts:210

---

fromVectorStore

▸ Static fromVectorStore(vectorStore, serviceContext, imageVectorStore?): Promise<VectorStoreIndex>

Parameters

Name	Type
vectorStore	VectorStore
serviceContext	ServiceContext
imageVectorStore?	VectorStore

Returns

Promise<VectorStoreIndex>

Defined in

packages/core/src/indices/vectorStore/VectorStoreIndex.ts:234

---

init

▸ Static init(options): Promise<VectorStoreIndex>

The async init function creates a new VectorStoreIndex.

Parameters

Name	Type
options	VectorIndexOptions

Returns

Promise<VectorStoreIndex>

Defined in

packages/core/src/indices/vectorStore/VectorStoreIndex.ts:81

---

setupIndexStructFromStorage

▸ Static Private setupIndexStructFromStorage(indexStore, options): Promise<undefined | IndexDict>

Parameters

Name	Type
indexStore	BaseIndexStore
options	IndexStructOptions

Returns

Promise<undefined | IndexDict>

Defined in

packages/core/src/indices/vectorStore/VectorStoreIndex.ts:121