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.
Source: [Dev.to](https://dev.to/hosseinhezami/building-a-production-rag-pipeline-with-n8n-qdrant-and-gemini-a-step-by-step-walkthrough-2in0)