RAG Series (4): Document Processing — From Raw Files to High-Quality Chunks
Dev.to AI
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Generative AI
Why "How You Cut" Matters as Much as "What You Cut" In the first three articles, we built a working RAG pipeline and tuned the core parameters. But if you look closely at the retrieval results, you may notice a strange phenomenon: The answer is clearly in the document, yet the Retriever can't find it. Or it finds it, but the answer is cut in half - the LLM only sees the first half of the sentence. The problem usually lies in the chunking step.