Just shipped a new AI-powered project 🚀 Introducing DocuChat — upload any PDF and ask questions in plain English, with instant answers grounded in your document. This is a full-stack RAG (Retrieval-Augmented Generation) application built to solve a real problem: making documents actually searchable and interactive using AI. 🔹 What I built: End-to-end full-stack app (React + Node.js + Express) AI-powered semantic search using vector embeddings (Gemini) Real-time streaming responses Supabase + pgvector for vector storage Deployed on Vercel + Render with CI/CD 🔹 Key idea: Instead of generic AI answers, responses are context-aware and grounded in your document using a custom RAG pipeline. This project really pushed me into deeper AI engineering — from embeddings → vector search → prompt design → streaming LLM responses. 👉 Try it here: https://lnkd.in/gqcMd5nv 👉 GitHub: https://lnkd.in/gJBC5ZGj I’m currently open to Full-Stack Developer opportunities (React / Next.js / Node.js) in Australia 🇦🇺 or remote. If you're hiring or know of any opportunities, I’d love to connect 🙌 #AI #FullStackDeveloper #RAG #React #NodeJS #OpenToWork #SoftwareEngineer

Impressive work on this RAG project. Excited to see what you build next! Mohini Patil, would you happen to know anyone in Australia or remote who could help? My friend is currently looking for opportunities.

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