Author: Abhishek Shil
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From Demo to Production: The 5 Zones of a Real AI Agent System
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Most AI agents pass their first test. A user asks a question, the model replies, and the demo looks finished. Then the agent goes live, usage climbs, and the answers get worse, not better. The model has not changed. The architecture around it was never built to hold up at volume. The gap is architectural,…
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What to Store Next to Your Embeddings: A Production RAG Checklist
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Every RAG tutorial ends at the same two steps: embed and query. You chunk your documents, store (id, embedding), run a nearest-neighbour search, and the demo works. Then you put it in front of real users and it quietly falls apart. The vector was never the hard part. What you store next to it is.…