RAG AI Chatbot
Intelligent chatbot that reads any PDF or website and answers questions with full conversation memory.
Project Overview
A complete Retrieval Augmented Generation (RAG) system that ingests any document or URL, stores knowledge in FAISS vector database, and answers questions accurately by retrieving the most relevant context before generating responses.
⚠ The Problem
Businesses have vast amounts of data in PDFs, documents, and websites. They need intelligent assistants that can answer specific questions from this private data without manual searching.
✓ The Solution
Built a LangChain pipeline with HuggingFace embeddings, FAISS vector store for semantic search, and conversation memory. Users can upload PDFs or enter URLs and chat instantly.
Results & Outcomes
Accurately answers questions from any document or website. Supports multi-turn conversations. Terminal-themed professional dashboard with chunk-level search transparency.