Class: PGVectorStore
Provides support for writing and querying vector data in Postgres. Note: Can't be used with data created using the Python version of the vector store (https://docs.llamaindex.ai/en/stable/examples/vector_stores/postgres/)
Extends
Implements
Constructors
new PGVectorStore()
new PGVectorStore(
config):PGVectorStore
Parameters
• config: PGVectorStoreConfig
Returns
Overrides
Defined in
packages/llamaindex/src/vector-store/PGVectorStore.ts:165
Properties
embedModel
embedModel:
BaseEmbedding
Inherited from
Defined in
packages/llamaindex/src/vector-store/types.ts:104
storesText
storesText:
boolean=true
Implementation of
VectorStoreNoEmbedModel.storesText
Defined in
packages/llamaindex/src/vector-store/PGVectorStore.ts:154
Methods
add()
add(
embeddingResults):Promise<string[]>
Adds vector record(s) to the table. NOTE: Uses the collection property controlled by setCollection/getCollection.
Parameters
• embeddingResults: BaseNode<Metadata>[]
The Nodes to be inserted, optionally including metadata tuples.
Returns
Promise<string[]>
A list of zero or more id values for the created records.
Implementation of
Defined in
packages/llamaindex/src/vector-store/PGVectorStore.ts:319
clearCollection()
clearCollection():
Promise<any[]>
Delete all vector records for the specified collection. NOTE: Uses the collection property controlled by setCollection/getCollection.
Returns
Promise<any[]>
The result of the delete query.
Defined in
packages/llamaindex/src/vector-store/PGVectorStore.ts:284
client()
client():
Promise<IsomorphicDB>
Connects to the database specified in environment vars. This method also checks and creates the vector extension, the destination table and indexes if not found.
Returns
Promise<IsomorphicDB>
A connection to the database, or the error encountered while connecting/setting up.
Implementation of
VectorStoreNoEmbedModel.client
Defined in
packages/llamaindex/src/vector-store/PGVectorStore.ts:275
delete()
delete(
refDocId,deleteKwargs?):Promise<void>
Deletes a single record from the database by id. NOTE: Uses the collection property controlled by setCollection/getCollection.
Parameters
• refDocId: string
Unique identifier for the record to delete.
• deleteKwargs?: any
Required by VectorStore interface. Currently ignored.
Returns
Promise<void>
Promise that resolves if the delete query did not throw an error.
Implementation of
VectorStoreNoEmbedModel.delete
Defined in
packages/llamaindex/src/vector-store/PGVectorStore.ts:368
getCollection()
getCollection():
string
Getter for the collection property. Using a collection allows for simple segregation of vector data, e.g. by user, source, or access-level. Leave/set blank to ignore the collection value when querying.
Returns
string
The currently-set collection value. Default is empty string.
Defined in
packages/llamaindex/src/vector-store/PGVectorStore.ts:205
persist()
persist(
persistPath):Promise<void>
Required by VectorStore interface. Currently ignored.
Parameters
• persistPath: string
Returns
Promise<void>
Resolved Promise.
Defined in
packages/llamaindex/src/vector-store/PGVectorStore.ts:578
query()
query(
query,options?):Promise<VectorStoreQueryResult>
Query 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
Defined in
packages/llamaindex/src/vector-store/PGVectorStore.ts:503
setCollection()
setCollection(
coll):void
Setter for the collection property. Using a collection allows for simple segregation of vector data, e.g. by user, source, or access-level. Leave/set blank to ignore the collection value when querying.
Parameters
• coll: string
Name for the collection.
Returns
void