Unverified50% confidenceDecision RuleExact time
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
1
Sources
50%
Confidence
Long-term
Relevance
7/13/2026
First Seen
Sources
LangChain in Practice: Building the ChatDoc Document Chat Application with RAG
bilibiliAI大模型-入门教程7/11/2026
Related Claims
UnverifiedIn practical engineering, a chunk_size between 256 and 1024 tokens and a chunk_overlap between 20 and 100 tokens are fairly common empirical ranges.80% similarVerifiedIn RAG practice, chunk_size is typically set between 256 and 1024 tokens, with an Overlap of approximately 10% to 20% retained.72% similarUnverifiedLarge language models have an inherent context window limitation, with the number of tokens that can be processed in a single pass typically ranging from tens of thousands to hundreds of thousands of tokens.65% similarUnverifiedDifferent large models vary significantly in context window size, ranging from 8K to 128K tokens.64% similar
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