AgentGuide
Jun 11, 2026 · Artificial Intelligence
RAG Chunking Strategies and How to Balance Chunk Size (Full Answer)
The article outlines four common RAG chunking methods—fixed-length, recursive, semantic, and structure-based—explains their pros and cons, discusses the trade‑off between chunk size, retrieval precision and context completeness, and introduces two advanced techniques, Contextual Retrieval and Late Chunking, with empirical results from Anthropic and Jina AI.
ChunkingContextual RetrievalFixed‑Length Splitting
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