---
title: "Discussion on \"Chunking Strategies for RAG: Matching Split Rules to Document Types\" | Hashnode"
description: "Discussion on \"Chunking Strategies for RAG: Matching Split Rules to Document Types\". How to chunk Markdown, PDFs, code, tickets, and tables so retrieval keeps meaning—size, overlap, structure, and metadata that actually help."
url: "https://hashnode.com/posts/chunking-strategies-for-rag-matching-split-rules-to-document-types/6af709367d376ea48770cb6f"
---

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# [Chunking Strategies for RAG: Matching Split Rules to Document Types](https://whoai.hashnode.dev/chunking-strategies-for-rag-matching-split-rules-to-document-types?utm_source=hashnode&utm_medium=feed)

How to chunk Markdown, PDFs, code, tickets, and tables so retrieval keeps meaning—size, overlap, structure, and metadata that actually help.

16h ago · 4 min read · whoai.hashnode.dev  
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-   [#ai](https://hashnode.com/tag/ai)
-   [#rag](https://hashnode.com/tag/rag)
-   [#chunking](https://hashnode.com/tag/chunking)
-   [#embeddings](https://hashnode.com/tag/embeddings)

## Written by

[Hu Jin](https://hashnode.com/@whoai)

@whoai

  
[View profile](https://hashnode.com/@whoai)

Software engineer writing about AI coding tools, RAG, and Azure AI Search.

Software engineer writing about AI coding tools, RAG, and Azure AI Search.

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