Medium LLM
Chunking Isn’t Preprocessing, It’s Architecture
context
What happened
The author argues that chunking in RAG systems should not be treated as a simple preprocessing step in an ETL pipeline, but rather as a core architectural decision. Poor chunking strategies often lead to hallucinated or confidently incorrect answers because the model lacks the appropriate semantic context.
Why it matters
Shifting chunking from static ETL to active system architecture directly determines the quality of context fed to the LLM.
The take
The author is spot on. Treating chunking as a static, one-size-fits-all preprocessing step is a primary failure mode in production RAG. Moving toward dynamic, semantic, or hierarchical chunking is a prerequisite for reliable context engineering.
Do this
Re-evaluate your RAG pipeline's chunking strategy, moving away from fixed-character splits toward semantic, metadata-rich, or hierarchical chunking architectures.
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