AsyncPGVectorStore

Create an AsyncPGVectorStore instance.

Add data along with embeddings to the table.

Embed texts and add to the table.

Embed documents and add to the table.

Delete records from the table.

Create an AsyncPGVectorStore instance from texts.

Create an AsyncPGVectorStore instance from documents.

Return docs selected by similarity search on query.

Return docs and distance scores selected by similarity search on query.

Return docs selected by vector similarity search.

Return docs and distance scores selected by vector similarity search.

Return docs selected using the maximal marginal relevance.

Return docs selected using the maximal marginal relevance.

Return docs and distance scores selected using the maximal marginal relevance.

Creates a TSV index in the vector store table if possible.

Create index in the vector store table.

Re-index the vector store table.

Drop the vector index.

Check if index exists in the table.

Retrieve documents from the collection using filters and parameters.

Get documents by ids.

Delete records from the table.