chunking-strategy

Implement optimal chunking strategies for Retrieval-Augmented Generation (RAG) systems and document processing pipelines. This skill provides a comprehensive framework for breaking large documents into smaller, semantically meaningful segments that preserve context while enabling efficient retrieval and search.

Use this skill when building RAG systems, optimizing vector search performance, implementing document processing pipelines, handling multi-modal content, or performance-tuning existing RAG systems with poor retrieval quality.

Select appropriate chunking strategy based on document type and use case:

Provides optimal chunking strategies in RAG systems and document processing pipelines. Use when building retrieval-augmented generation systems, vector databases, or processing large documents that require breaking into semantically meaningful segments for embeddings and search. Source: giuseppe-trisciuoglio/developer-kit.