Class: VectorStoreIndex
The VectorStoreIndex, an index that stores the nodes only according to their vector embedings.
Hierarchy
Constructors
constructor
• new VectorStoreIndex(init): VectorStoreIndex
Parameters
| Name | Type |
|---|---|
init | VectorIndexConstructorProps |
Returns
Overrides
Defined in
packages/core/src/indices/vectorStore/index.ts:74
Properties
docStore
• docStore: BaseDocumentStore
Inherited from
Defined in
packages/core/src/indices/BaseIndex.ts:62
embedModel
• embedModel: BaseEmbedding
Defined in
packages/core/src/indices/vectorStore/index.ts:70
imageEmbedModel
• Optional imageEmbedModel: MultiModalEmbedding
Defined in
packages/core/src/indices/vectorStore/index.ts:72
imageVectorStore
• Optional imageVectorStore: VectorStore
Defined in
packages/core/src/indices/vectorStore/index.ts:71
indexStore
• indexStore: BaseIndexStore
Overrides
Defined in
packages/core/src/indices/vectorStore/index.ts:69
indexStruct
• indexStruct: IndexDict
Inherited from
Defined in
packages/core/src/indices/BaseIndex.ts:65
serviceContext
• Optional serviceContext: ServiceContext
Inherited from
Defined in
packages/core/src/indices/BaseIndex.ts:60
storageContext
• storageContext: StorageContext
Inherited from
Defined in
packages/core/src/indices/BaseIndex.ts:61
vectorStore
• vectorStore: VectorStore
Overrides
Defined in
packages/core/src/indices/vectorStore/index.ts:68
Methods
asQueryEngine
▸ asQueryEngine(options?): RetrieverQueryEngine<MetadataFilters>
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? | MetadataFilters | - |
options.responseSynthesizer? | BaseSynthesizer | - |
options.retriever? | BaseRetriever<MetadataFilters> | - |
Returns
RetrieverQueryEngine<MetadataFilters>
Overrides
Defined in
packages/core/src/indices/vectorStore/index.ts:283
asRetriever
▸ asRetriever(options?): VectorIndexRetriever
Create a new retriever from the index.
Parameters
| Name | Type |
|---|---|
options? | Omit<VectorIndexRetrieverOptions, "index"> |
Returns
Overrides
Defined in
packages/core/src/indices/vectorStore/index.ts:277
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/index.ts:200
deleteRefDoc
▸ deleteRefDoc(refDocId, deleteFromDocStore?): Promise<void>
Parameters
| Name | Type | Default value |
|---|---|---|
refDocId | string | undefined |
deleteFromDocStore | boolean | true |
Returns
Promise<void>
Overrides
Defined in
packages/core/src/indices/vectorStore/index.ts:342
deleteRefDocFromStore
▸ deleteRefDocFromStore(vectorStore, refDocId): Promise<void>
Parameters
| Name | Type |
|---|---|
vectorStore | VectorStore |
refDocId | string |
Returns
Promise<void>
Defined in
packages/core/src/indices/vectorStore/index.ts:356
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
Defined in
packages/core/src/indices/vectorStore/index.ts:174
insert
▸ insert(document): Promise<void>
Insert a document into the index.
Parameters
| Name | Type |
|---|---|
document | Document<Metadata> |
Returns
Promise<void>
Inherited from
Defined in
packages/core/src/indices/BaseIndex.ts:96
insertNodes
▸ insertNodes(nodes, options?): Promise<void>
Parameters
| Name | Type |
|---|---|
nodes | BaseNode<Metadata>[] |
options? | Object |
options.logProgress? | boolean |
Returns
Promise<void>
Overrides
Defined in
packages/core/src/indices/vectorStore/index.ts:323
insertNodesToStore
▸ insertNodesToStore(vectorStore, nodes): Promise<void>
Parameters
| Name | Type |
|---|---|
vectorStore | VectorStore |
nodes | BaseNode<Metadata>[] |
Returns
Promise<void>
Defined in
packages/core/src/indices/vectorStore/index.ts:298
fromDocuments
▸ fromDocuments(documents, args?): Promise<VectorStoreIndex>
High level API: split documents, get embeddings, and build index.
Parameters
| Name | Type |
|---|---|
documents | Document<Metadata>[] |
args | VectorIndexOptions & { docStoreStrategy?: DocStoreStrategy } |
Returns
Promise<VectorStoreIndex>
Defined in
packages/core/src/indices/vectorStore/index.ts:213
fromVectorStore
▸ 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/index.ts:252
init
▸ 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/index.ts:91
setupIndexStructFromStorage
▸ setupIndexStructFromStorage(indexStore, options): Promise<undefined | IndexDict>
Parameters
| Name | Type |
|---|---|
indexStore | BaseIndexStore |
options | IndexStructOptions |
Returns
Promise<undefined | IndexDict>