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Class: QdrantVectorStore

Qdrant vector store.

Extends​

Implements​

Constructors​

new QdrantVectorStore()​

new QdrantVectorStore(__namedParameters): QdrantVectorStore

Creates a new QdrantVectorStore.

Parameters​

• __namedParameters: QdrantParams

Returns​

QdrantVectorStore

Overrides​

VectorStoreBase.constructor

Defined in​

packages/llamaindex/src/storage/vectorStore/QdrantVectorStore.ts:59

Properties​

batchSize​

batchSize: number

Defined in​

packages/llamaindex/src/storage/vectorStore/QdrantVectorStore.ts:44

collectionName​

collectionName: string

Defined in​

packages/llamaindex/src/storage/vectorStore/QdrantVectorStore.ts:45

embedModel​

embedModel: BaseEmbedding

Inherited from​

VectorStoreBase.embedModel

Defined in​

packages/llamaindex/src/storage/vectorStore/types.ts:103

storesText​

storesText: boolean = true

Implementation of​

VectorStoreNoEmbedModel.storesText

Defined in​

packages/llamaindex/src/storage/vectorStore/QdrantVectorStore.ts:42

Methods​

add()​

add(embeddingResults): Promise<string[]>

Adds the given nodes to the vector store.

Parameters​

• embeddingResults: BaseNode<Metadata>[]

List of nodes

Returns​

Promise<string[]>

List of node IDs

Implementation of​

VectorStoreNoEmbedModel.add

Defined in​

packages/llamaindex/src/storage/vectorStore/QdrantVectorStore.ts:188

buildPoints()​

buildPoints(nodes): Promise<object>

Builds a list of points from the given nodes.

Parameters​

• nodes: BaseNode<Metadata>[]

Returns​

Promise<object>

ids​

ids: string[]

points​

points: PointStruct[]

Defined in​

packages/llamaindex/src/storage/vectorStore/QdrantVectorStore.ts:140

client()​

client(): QdrantClient

Returns the Qdrant client.

Returns​

QdrantClient

Qdrant client

Implementation of​

VectorStoreNoEmbedModel.client

Defined in​

packages/llamaindex/src/storage/vectorStore/QdrantVectorStore.ts:91

collectionExists()​

collectionExists(collectionName): Promise<boolean>

Checks if the collection exists in Qdrant and creates it if not.

Parameters​

• collectionName: string

Qdrant collection name

Returns​

Promise<boolean>

Defined in​

packages/llamaindex/src/storage/vectorStore/QdrantVectorStore.ts:114

createCollection()​

createCollection(collectionName, vectorSize): Promise<void>

Creates a collection in Qdrant.

Parameters​

• collectionName: string

Qdrant collection name

• vectorSize: number

Dimensionality of the vectors

Returns​

Promise<void>

Defined in​

packages/llamaindex/src/storage/vectorStore/QdrantVectorStore.ts:100

delete()​

delete(refDocId): Promise<void>

Deletes the given nodes from the vector store.

Parameters​

• refDocId: string

Node ID

Returns​

Promise<void>

Implementation of​

VectorStoreNoEmbedModel.delete

Defined in​

packages/llamaindex/src/storage/vectorStore/QdrantVectorStore.ts:215

initializeCollection()​

initializeCollection(vectorSize): Promise<void>

Initializes the collection in Qdrant.

Parameters​

• vectorSize: number

Dimensionality of the vectors

Returns​

Promise<void>

Defined in​

packages/llamaindex/src/storage/vectorStore/QdrantVectorStore.ts:127

query()​

query(query, options?): Promise<VectorStoreQueryResult>

Queries the vector store for the closest matching data to the query embeddings.

Parameters​

• query: VectorStoreQuery

The VectorStoreQuery to be used

• options?: any

Required by VectorStore interface. Currently ignored.

Returns​

Promise<VectorStoreQueryResult>

Zero or more Document instances with data from the vector store.

Implementation of​

VectorStoreNoEmbedModel.query

Defined in​

packages/llamaindex/src/storage/vectorStore/QdrantVectorStore.ts:268