The first version of a RAG system always looks convincing. You connect a document loader, a vector database, and a large model, ask a question, and the answer comes back with impressive confidence. Then production happens. A support agent asks about a refund policy that changed last week, and the bot answers with the old policy. A user from the... Weiterlesen
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Building a Production RAG Pipeline with n8n, Qdrant, and Gemini: A Step-by-Step Walkthrough
The first version of a RAG system always looks convincing. You connect a document loader, a vector database, and a large model, ask a question, and the answer comes back with impressive confidence. Then production happens. A support agent…
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