AI-Powered Customer Support Chatbot using Retrieval-Augmented Generation (RAG) is an intelligent web-based chatbot that provides accurate and context-aware responses to customer queries by retrieving relevant product information from a vector database.
Built using Python, FastAPI, LangChain, ChromaDB, Hugging Face Embeddings, and Groq Llama 3, the chatbot supports product search, price inquiries, recommendations, comparisons, and category-based queries while reducing AI hallucinations through RAG.
Tags: RAG, AI Chatbot, E-commerce, LangChain, ChromaDB, Groq Llama 3, FastAPI, NLP, Semantic Search, Vector Database, HuggingFace Embeddings, Web Scraping, Python,
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