Postgres PGVector — llama-stack documentation (original) (raw)

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.