Imagine a website where users can skip complex navigation and get instant answers with just a question. This project explores how a Retrieval-Augmented Generation (RAG) chatbot reduces server load and network congestion by streamlining interactions-enhancing both efficiency and user experience in a way traditional navigation can't.
selenium artificial-intelligence web-scraping data-preprocessing gemini-api faiss rag seleniumwebdriver bert-embeddings vector-database crag bing-search-api generative-ai genai-chatbot faiss-vector-database sementicsearch
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Updated
Dec 5, 2024 - Python