[Showoff Saturday] RigRAG - easy way to instantly add memory capabilities to your AI Agents

TL;DR : Built a RAG pipeline, allows you to upload docs and connect via API/MCP to service. need feedback if you find it useful or confusing: https://rig-rag.vercel.app I got into the whole AI, embeddings, etc workflow for another project of mine and while pretty fascinating how this all ties together, I thought that it is perhaps also useful to others who don’t want to rebuild the whole pipeline from scratch every time. (also, competition seems pretty costly). It is pretty simple: Make account, make memory space, upload your stuff, configure how you want it retrieved, setup scoped API key, connect your AI to the hosted MCP → done. RigRAG lets you: upload / index documents search them via a simple HTTP API or MCP optionally configure retrieval settings like top-k, candidate count, chunking, etc. Currently entirely free to use since I would want to gather feedback first if it's worth pursuing further before I spend too much time into it. I’d really appreciate feedback on it, if something is unclear to setup, should be improved etc. I’m not trying to do a big launch yet so this is more of a “please try it, and tell me what sucks or if its good” thing. Here the link again: https://rig-rag.vercel.app And for the MCP: https://rig-rag.vercel.app/api/mcp submitted by /u/Odysseyan [link] [留言]