The upstream decision no model, or LLM can fix once you get it wrong
The post Your Chunks Failed Your RAG in Production appeared first on Towards Data Science.
Your Chunks Failed Your RAG in Production
Towards Data Science / 4/17/2026
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Key Points
- The article argues that RAG failures in production are often caused by upstream chunking and data preparation choices rather than issues that an LLM can reliably correct after the fact.
- It emphasizes that the retrieval component’s quality (e.g., how content is split into chunks and matched) largely determines whether RAG will produce correct, grounded answers.
- The piece highlights that “getting it wrong” early in the pipeline propagates through the system, making downstream model fixes insufficient.
- It serves as a practical reminder to focus on building robust retrieval inputs and evaluation loops for real-world RAG systems.
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