TimescaleVector

Add embeddings to the vectorstore.

Add embeddings to the vectorstore.

Run more texts through the embeddings and add to the vectorstore.

Run more texts through the embeddings and add to the vectorstore.

Run similarity search with TimescaleVector with distance.

Run similarity search with TimescaleVector with distance.

Return docs most similar to query.

Return docs most similar to query.

Return docs most similar to embedding vector.

Return docs most similar to embedding vector.

Return VectorStore initialized from texts and embeddings. Postgres connection string is required "Either pass it as a parameter or set the TIMESCALE_SERVICE_URL environment variable.

Return VectorStore initialized from texts and embeddings. Postgres connection string is required "Either pass it as a parameter or set the TIMESCALE_SERVICE_URL environment variable.

Construct TimescaleVector wrapper from raw documents and pre- generated embeddings.

Return VectorStore initialized from documents and embeddings. Postgres connection string is required "Either pass it as a parameter or set the TIMESCALE_SERVICE_URL environment variable.

Construct TimescaleVector wrapper from raw documents and pre- generated embeddings.

Return VectorStore initialized from documents and embeddings. Postgres connection string is required "Either pass it as a parameter or set the TIMESCALE_SERVICE_URL environment variable.

Get instance of an existing TimescaleVector store.This method will return the instance of the store without inserting any new embeddings

Return connection string from database parameters.

Delete by vector ID or other criteria.

Delete by vector ID or other criteria.

Enumerator for the supported Index types