In this article, you will learn seven distinct chunking strategies for RAG pipelines, how each one works, and when to choose one over another for your specific use case.
Topics we will cover include:
Why naive fixed-size token chunking destroys semantic meaning and how strategies like sentence-window retrieval and structural chunking preserve it.
Advanced approaches including semantic chunking, hierarchical chunking, LLM-driven propositional chunking, and multi-modal table-preserving chunking.
What matters beyond chunking strategy in production RAG systems, including index lifecycle management and chunk deduplication.
