Image created with OpenAI GPT-Image-1. Image prompt: mid‑1990s web‑browser screenshot, CRT glow, 256‑color dithering — “Optimized for Netscape 3.0” metal‑badge footer — binder‑clip icon holding pages caption “RAG Retrieval” — crisp pixel edges, screen‑door scan‑lines, phosphor glow
If you are a buyer of a SaaS AI product & you have the leverage to do so, ask: What model(s) are they using (there are only a handful), how often they upgrade, what are their system prompts for various pieces, & how they handle RAG/context. Don’t let them launder AI risk for you”” / X https://x.com/emollick/status/1942778072974962815
Congrats to the team @airweave_ai on their $6M Seed! Airweave is an open-source dev tool that lets AI agents search any app. It connects to apps like Github, Notion, Google Drive, or Postgres and turns them into agent-ready knowledge bases automatically. https://x.com/ycombinator/status/1940820066368737793
🎛️ LangConnect: RAG Made Easy A complete RAG management solution with Streamlit dashboard for document processing and vector search. Built with PostgreSQL/pgvector, it offers real-time processing, multi-type search, and secure authentication. Check it out here 🚀 https://x.com/LangChainAI/status/1941542594049171717
Holy shit, I just built a RAG system for PDF chat. Gave it my bank statement just to test, knowing it wouldn’t work… It. Freaking. Worked. It’s not a new idea, but building it from scratch so quickly with AI had me buzzing. Used Lovable, Supabase and OpenAI https://x.com/sathwikreddygv/status/1936309607665942932
