supabase/headless-vector-search
Supabase Toolkit to perform vector similarity search on your knowledge base embeddings.
This project helps you add a powerful search experience to your existing documentation website. It takes your website's markdown documents and turns them into smart answers for user queries, similar to how ChatGPT responds. Website owners, technical writers, or product managers who maintain knowledge bases or help documentation would use this to improve user support.
193 stars. No commits in the last 6 months.
Use this if you want to provide an AI-powered, conversational search experience for your documentation or knowledge base without rebuilding your entire website.
Not ideal if you need a simple keyword search, prefer to host everything on your own servers without external services, or don't use markdown for your documentation.
Stars
193
Forks
40
Language
TypeScript
License
MIT
Category
Last pushed
May 15, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/supabase/headless-vector-search"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
airweave-ai/airweave
Open-source context retrieval layer for AI agents
lotus-data/lotus
AI-Powered Data Processing: Use LOTUS to process all of your datasets with LLMs and embeddings....
superduper-io/superduper
Superduper: End-to-end framework for building custom AI applications and agents.
similigh/simili-bot
AI-powered GitHub issue intelligence - semantic duplicate detection, cross-repo search, and...
grumpyp/aixplora
AIxplora is a open-source tool which let's you query all kind of files not limited to any length...