Unverified50% confidenceSolutionExact time
In practical engineering, a chunk_size between 256 and 1024 tokens and a chunk_overlap between 20 and 100 tokens are fairly common empirical ranges.
1
Sources
50%
Confidence
Long-term
Relevance
7/24/2026
First Seen
Sources
RAG检索增强生成详解：原理、工作流程与核心优势
bilibiliAI小公举-timi7/9/2026
Related Claims
VerifiedIn RAG practice, chunk_size is typically set between 256 and 1024 tokens, with an Overlap of approximately 10% to 20% retained.81% similarUnverified实际工程中Chunk大小通常为200-1000 tokens，Overlap比例通常为10%-20%，是需要根据文档类型和业务场景调优的关键超参数80% similarUnverifiedA 200K token context request requires approximately 25× the KV-Cache memory compared to an 8K token request.68% similar
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