Built an AI-powered chatbot that

Built an AI-powered chatbot that enables businesses to search and retrieve information from documents instantly using Retrieval-Augmented Generation (RAG).

The system processes uploaded documents, converts them into embeddings, and stores them in a vector database for fast and accurate retrieval. When a user asks a question, the chatbot fetches relevant context and generates intelligent, human-like responses.

💡 This solution helps businesses automate document search, reduce manual effort, and improve productivity.

🔥 Key Highlights: • Real-time document querying • Context-aware AI responses • Fast and scalable architecture

⚙️ Built using Python, FastAPI, OpenAI, LangChain, and FAISS.