The 5 Levels of Text Splitting for Retrieval
Summary
This YouTube video, titled "The 5 Levels Of Text Splitting For Retrieval" by Greg Kamradt, explores various methods for dividing text into manageable chunks for retrieval systems, particularly in the context of Retrieval-Augmented Generation (RAG). The video outlines five distinct levels of text splitting, starting with basic character-based methods and progressing to more sophisticated semantic and agentic approaches. Level 1 involves character splitting, while Level 2 utilizes recursive character splitting. Level 3 focuses on document-specific splitting, and Level 4 introduces semantic splitting using embeddings. The highest level, Level 5, discusses agentic splitting. A bonus level on alternative representations is also mentioned. The video provides a detailed breakdown of each level, including theoretical explanations and practical demonstrations, with timestamps for each section. It aims to help viewers understand how to optimize text chunking for better retrieval quality in AI applications.