Supabase Embeddings Generator

A GitHub Action that converts your markdown files into embeddings and stores them in your Postgres/Supabase database, allowing you to perform vector similarity search inside your documentation and website.

This action is a companion to the headless-vector-search repo, which is used to store and retrieve the embeddings using OpenAI and Supabase.

Usage

You can find this action on the GitHub Marketplace.

In your knowledge base repository, create a new action called .github/workflows/generate_embeddings.yml with the following content:

name: 'generate_embeddings'
on: # run on main branch changes
  push:
    branches:
      - main

jobs:
  generate:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - uses: supabase/embeddings-generator@v0.x.x # Find the latest version in the Marketplace
        with:
          supabase-url: 'https://your-project-ref.supabase.co'
          supabase-service-role-key: ${{ secrets.SUPABASE_SERVICE_ROLE_KEY }}
          openai-key: ${{ secrets.OPENAI_KEY }}
          docs-root-path: 'docs' # the path to the root of your md(x) files

Make sure to set SUPABASE_SERVICE_ROLE_KEY, and OPENAI_KEY as repository secrets in your repo settings (settings > secrets > actions).

See the instructions in the headless-vector-search for more information on how to query your database from your website.

Developers

See details in MAINTAINERS.md

License

MIT