Class: QdrantVectorStore
Qdrant vector store.
Extends
Implements
Constructors
new QdrantVectorStore()
new QdrantVectorStore(
__namedParameters):QdrantVectorStore
Creates a new QdrantVectorStore.
Parameters
• __namedParameters: QdrantParams
Returns
Overrides
Source
packages/core/src/storage/vectorStore/QdrantVectorStore.ts:59
Properties
batchSize
batchSize:
number
Source
packages/core/src/storage/vectorStore/QdrantVectorStore.ts:44
collectionInitialized
privatecollectionInitialized:boolean=false
Source
packages/core/src/storage/vectorStore/QdrantVectorStore.ts:48
collectionName
collectionName:
string
Source
packages/core/src/storage/vectorStore/QdrantVectorStore.ts:45
db
privatedb:QdrantClient
Source
packages/core/src/storage/vectorStore/QdrantVectorStore.ts:47
embedModel
embedModel:
BaseEmbedding
Inherited from
Source
packages/core/src/storage/vectorStore/types.ts:86
storesText
storesText:
boolean=true
Implementation of
VectorStoreNoEmbedModel . storesText
Source
packages/core/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
Source
packages/core/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[]
Source
packages/core/src/storage/vectorStore/QdrantVectorStore.ts:140
buildQueryFilter()
privatebuildQueryFilter(query):Promise<null|object>
Qdrant filter builder
Parameters
• query: VectorStoreQuery
The VectorStoreQuery to be used
Returns
Promise<null | object>
Source
packages/core/src/storage/vectorStore/QdrantVectorStore.ts:299
client()
client():
QdrantClient
Returns the Qdrant client.
Returns
QdrantClient
Qdrant client
Implementation of
VectorStoreNoEmbedModel . client
Source
packages/core/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>
Source
packages/core/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>
Source
packages/core/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
Source
packages/core/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>
Source
packages/core/src/storage/vectorStore/QdrantVectorStore.ts:127
parseToQueryResult()
privateparseToQueryResult(response):VectorStoreQueryResult
Converts the result of a query to a VectorStoreQueryResult.
Parameters
• response: QuerySearchResult[]
Query response
Returns
VectorStoreQueryResult
Source
packages/core/src/storage/vectorStore/QdrantVectorStore.ts:237
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
Source
packages/core/src/storage/vectorStore/QdrantVectorStore.ts:268