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Postgres PGVector

PGVector is a remote vector database provider for Llama Stack. It allows you to store and query vectors directly in memory. That means you'll get fast and efficient vector retrieval.

Features

  • Easy to use
  • Fully integrated with Llama Stack

Usage

To use PGVector in your Llama Stack project, follow these steps:

  1. Install the necessary dependencies.
  2. Configure your Llama Stack project to use Faiss.
  3. Start storing and querying vectors.

Installation

You can install PGVector using docker:

docker pull pgvector/pgvector:pg17

Documentation

See PGVector's documentation for more details about PGVector in general.