headless-vector-search
This project offers an integrated vector search utility designed for documentation sites, using Supabase for database operations and OpenAI for AI-generated outputs. By leveraging GitHub Actions, markdown docs are converted into embeddings for streamlined data access. The headless architecture permits flexible deployment, while the Edge Function addresses user queries with responses akin to ChatGPT. Employ this versatile tech stack to optimize information retrieval and boost site engagement.
