AI & Machine Learning

Why Your RAG Pipeline Breaks in Production (And How to Fix It Like an Engineer)

Ali Nemati20 hours ago23 sec read2 views0 listens

RAG pipelines often fail in production due to retrieval issues rather than model flaws, leading to inaccurate responses despite working well during testing. Engineers can improve reliability through semantic chunking, re-ranking, optimizing context window size, enforcing strict grounding prompts, handling multi-hop queries, and implementing structured trace logging for debugging.

Read the full article at Towards AI - Medium

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