Unverified60% confidenceSolutionExact time
Long documents that exceed the maximum input token limit of the embedding model need to be chunked first.
2
Sources
60%
Confidence
Long-term
Relevance
7/24/2026
First Seen
Sources
Spring AI实战：ChatModel到RAG应用开发完整指南
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Unverified文档切分中块太大则检索精度下降，块太小则丢失上下文语义，设置50-100 token的重叠能避免关键信息被切断66% similarUnverifiedWhen the information a question needs is sparsely scattered throughout the document, or requires aggregating multiple paragraphs, or is not salient during the write stage, NoteBank's sparse-archive recall drops noticeably, which is one of the limitations the paper acknowledges.64% similarUnverified一次复杂的功能重构可能消耗数万Token，而同等篇幅的文档撰写仅消耗几千Token64% similar
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