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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.html)

Extends​

Implements​

Constructors​

new PGVectorStore()​

new PGVectorStore(config?): PGVectorStore

Constructs a new instance of the PGVectorStore

If the connectionString is not provided the following env variables are used to connect to the DB: PGHOST=your database host PGUSER=your database user PGPASSWORD=your database password PGDATABASE=your database name PGPORT=your database port

Parameters​

• config?: object & Partial <IEmbedModel>

The configuration settings for the instance.

Returns​

PGVectorStore

Overrides​

VectorStoreBase . constructor

Source​

packages/core/src/storage/vectorStore/PGVectorStore.ts:52

Properties​

collection​

private collection: string = ""

Source​

packages/core/src/storage/vectorStore/PGVectorStore.ts:27

connectionString​

private connectionString: undefined | string = undefined

Source​

packages/core/src/storage/vectorStore/PGVectorStore.ts:30

db?​

private optional db: Client

Source​

packages/core/src/storage/vectorStore/PGVectorStore.ts:33

dimensions​

private dimensions: number = 1536

Source​

packages/core/src/storage/vectorStore/PGVectorStore.ts:31

embedModel​

embedModel: BaseEmbedding

Inherited from​

VectorStoreBase . embedModel

Source​

packages/core/src/storage/vectorStore/types.ts:86

schemaName​

private schemaName: string = PGVECTOR_SCHEMA

Source​

packages/core/src/storage/vectorStore/PGVectorStore.ts:28

storesText​

storesText: boolean = true

Implementation of​

VectorStoreNoEmbedModel . storesText

Source​

packages/core/src/storage/vectorStore/PGVectorStore.ts:25

tableName​

private tableName: string = PGVECTOR_TABLE

Source​

packages/core/src/storage/vectorStore/PGVectorStore.ts:29

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​

VectorStoreNoEmbedModel . add

Source​

packages/core/src/storage/vectorStore/PGVectorStore.ts:196

checkSchema()​

private checkSchema(db): Promise<Client>

Parameters​

• db: Client

Returns​

Promise<Client>

Source​

packages/core/src/storage/vectorStore/PGVectorStore.ts:121

clearCollection()​

clearCollection(): Promise<QueryResult<any>>

Delete all vector records for the specified collection. NOTE: Uses the collection property controlled by setCollection/getCollection.

Returns​

Promise<QueryResult<any>>

The result of the delete query.

Source​

packages/core/src/storage/vectorStore/PGVectorStore.ts:157

client()​

client(): Promise<Client>

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<Client>

A connection to the database, or the error encountered while connecting/setting up.

Implementation of​

VectorStoreNoEmbedModel . client

Source​

packages/core/src/storage/vectorStore/PGVectorStore.ts:148

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

Source​

packages/core/src/storage/vectorStore/PGVectorStore.ts:234

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.

Source​

packages/core/src/storage/vectorStore/PGVectorStore.ts:85

getDataToInsert()​

private getDataToInsert(embeddingResults): any[][]

Parameters​

• embeddingResults: BaseNode <Metadata>[]

Returns​

any[][]

Source​

packages/core/src/storage/vectorStore/PGVectorStore.ts:167

getDb()​

private getDb(): Promise<Client>

Returns​

Promise<Client>

Source​

packages/core/src/storage/vectorStore/PGVectorStore.ts:89

persist()​

persist(persistPath): Promise<void>

Required by VectorStore interface. Currently ignored.

Parameters​

• persistPath: string

Returns​

Promise<void>

Resolved Promise.

Source​

packages/core/src/storage/vectorStore/PGVectorStore.ts:317

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​

VectorStoreNoEmbedModel . query

Source​

packages/core/src/storage/vectorStore/PGVectorStore.ts:255

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

Source​

packages/core/src/storage/vectorStore/PGVectorStore.ts:74