phoenix-oss/llama-stack-mirror
0
0
Fork 1
mirror of https://github.com/meta-llama/llama-stack.git synced 2025-12-22 20:42:24 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions
llama-stack-mirror/docs/source/providers/vector_io/remote_opengauss.md
qifengleqifengle 5e9c394500 feat(vector-io): add OpenGauss vector database provider 
Implement OpenGauss vector database integration for Llama Stack with the following features:
- Add OpenGaussVectorIOAdapter for vector storage and retrieval
- Support native vector similarity search operations
- Implement connection and query management with psycopg2
- Provide configuration template for easy setup
- Add comprehensive unit tests

The implementation allows Llama Stack users to leverage OpenGauss as an
enterprise-grade vector database for RAG applications. Users can configure
their environment through a simple YAML configuration and environment variables.
2025-08-08 20:48:01 +08:00

1.4 KiB
Raw Blame History

remote::opengauss

Description

OpenGauss 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 OpenGauss in your Llama Stack project, follow these steps:

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

Installation

You can install OpenGauss using docker:

docker pull opengauss/opengauss:latest

Documentation

See OpenGauss' documentation for more details about OpenGauss in general.

Configuration

Field Type Required Default Description
host str | None No localhost
port int | None No 5432
db str | None No postgres
user str | None No postgres
password str | None No mysecretpassword

Sample Configuration

host: ${env.OPENGAUSS_HOST:=localhost}
port: ${env.OPENGAUSS_PORT:=5432}
db: ${env.OPENGAUSS_DB}
user: ${env.OPENGAUSS_USER}
password: ${env.OPENGAUSS_PASSWORD}