AI Chatbot for Instant Document Retrieval Using RAGAI Chatbot for Instant Document Retrieval Using RAG
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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.
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The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started