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RAG Chunking Strategy Advisor

Community

Pick the best chunking strategy for any doc.

Software Engineering#embeddings#rag#retrieval#chunking#prompt-engineering#vector-search
AuthorNotysoty
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Optimizes RAG accuracy by recommending the most effective chunking strategy based on document type and retrieval goals, reducing failures due to misaligned chunk sizes or structure.

Core Features & Use Cases

  • Recommends a primary chunking approach (e.g., header-based, semantic, fixed-size) tailored to the document type (PDFs, markdown, HTML, code, tables, emails, legal contracts).
  • Produces practical configuration guidance and metadata strategy to improve retrieval quality across embedding models and runtimes.
  • Use Cases: building robust RAG pipelines for product docs, code bases, legal agreements, and knowledge bases.

Quick Start

Provide the document type and retrieval goal to receive a recommended chunking strategy and implementation steps.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: RAG Chunking Strategy Advisor
Download link: https://github.com/Notysoty/openagentskills/archive/main.zip#rag-chunking-strategy-advisor

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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