Unverified50% confidenceFactExact time
The default workflows of LangSmith and RAGAS both output an aggregate score as the final result, and the underlying per-query retrieval lists are not automatically persisted.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/8/2026
First Seen
Valid until: 1/6/2027
Sources
Related Entities
Related Claims
UnverifiedRAG suffers from a scattered-answer problem because the current retrieval approach scores relevance between a query and individual chunks, making it difficult to guarantee that multiple complementary chunks are retrieved simultaneously.64% similarUnverifiedQuery rewriting in CRAG has the LLM decompose the original question into several more precise sub-queries, retrieve results separately, and then merge them, so as to reduce retrieval failures caused by the vocabulary gap.63% similarUnverified集结模式因不需要检索大量工具,输入Token更少、执行更简单,中间几乎没有汇报直接给出结果61% similarUnverified在RAG系统中检索结果按相关性分数排序拼接,最相关chunk不一定排在最显眼位置,可能因位置不当被模型忽视61% similarUnverified计费类Bug应遵循宁可少算不可多算原则,在模糊地带永远向有利于用户的方向倾斜,因取消而废弃的查询不应计入额度61% similar
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