Build production-ready RAG chatbots with LangGraph/LangChain, Pydantic schemas, and Supabase vector store using Gemini embeddings. Use when creating conversational AI that answers questions from documents (PDFs, web pages, text files), building document Q&A systems, or implementing retrieval-augmented generation pipelines.