I will build a rag chatbot on your documents, website, or database

Want your customers or team to instantly get answers from your PDFs, website, or internal data? I build production-grade RAG (Retrieval-Augmented Generation) chatbots that are accurate, fast, and deployable.

What I deliver:

       RAG pipeline using LangChain or LlamaIndex

       Vector database setup Pinecone, Chroma, Weaviate, or Qdrant

       LLM integration OpenAI GPT-4, Claude, or Mistral

       Data ingestion from PDFs, URLs, Notion, databases, or custom sources

       Clean chat UI (React or Streamlit) or API endpoint for your existing app

       Full deployment Vercel, Railway, AWS EC2, or Docker

       Source citations in responses no hallucinations, grounded answers

Why me: I've built RAG systems for SaaS products, e-commerce support bots, legal document tools, and internal knowledge bases. I know the pitfalls (chunk size, retrieval accuracy, latency) and I solve them. Clean code, production-ready.