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Retrieval Augmented Generation (RAG) with Google Cloud Gemini and MongoDB Atlas Vector Search

77 min • Published Jun 24, 2024
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🔗 Related Links
  • https://mdb.link/jFP_WXHwykY-register
  • https://mdb.link/jFP_WXHwykY-forums
✅ Sign-up for a free cluster at → https://mdb.link/jFP_WXHwykY-register ✅ Get help on our Community Forums → https://mdb.link/jFP_WXHwykY-forums - Join us for this coding livestream session where Mira and Shane will build an insurance policy chatbot. The chatbot will use Retrieval Augmented Generation (RAG) to ground LLM responses. The tech stack includes Gemini (LLM), Google Cloud’s embedding model (vector generation), and MongoDB Atlas (vector search).All MongoDB Videos

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