Build a Chat with PDF / Book Assistant using RAG

AI Developer Needed — Build a Chat with PDF / Book Assistant using RAG I’m looking for an AI developer to build a chatbot that can answer questions based on uploaded PDF documents/books. Requirements: * Build a RAG (Retrieval-Augmented Generation) chatbot. * User uploads a PDF/document. * Extract and process the document content. * Create embeddings and store them in a vector database. * Retrieve relevant chunks and generate accurate answers using an LLM. * Provide a simple and clean chat interface. Expected Tech Stack (preferred): * Python * LangChain * Vector Database (Pinecone / FAISS / similar) * LLM API (Gemini / OpenAI / similar) * Flask/FastAPI backend * Simple frontend chat UI Main Features: * Chat with any uploaded book or document. * Answers should be based only on the provided document. * If information is not found, the bot should say it doesn’t know. * Clean and user-friendly interface.