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Deep dives into AI-First engineering: multi-agent systems, RAG pipelines, LLM integration, and the tools and patterns we use to ship 10-20X faster with AI Agent Teams.

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Production RAG Failures: 9 Ways Your Retrieval System Breaks (And How to Fix Each One)

Your RAG demo worked perfectly — your production system is quietly hallucinating, serving stale data, and burning $14K/mo in unaudited costs. This deep technical guide covers 9 specific failure modes that break production RAG systems — chunking, embedding drift, vector DB scaling, hallucination, reranking bottlenecks, metadata gaps, staleness, missing eval, and cost runaway — with Python code fixes for each.

Apr 17, 2026 18 min

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