Unverified50% confidenceOpinionExact time
The fundamental limitation of RAG is that no matter how precise the retrieval is, the final output is still text.
1
Sources
50%
Confidence
Long-term
Relevance
9/10/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThere is a technical gap in RAG evaluation: the lack of a method that can simultaneously score identifier recall rate and clause-level coverage without requiring manual annotation for each document family70% similarUnverifiedRAG的质量往往卡在最前端的文档解析阶段，简单文本提取会破坏表格、标题层级和脚注等结构导致语义向量失真69% similarUnverifiedThe bottleneck of a RAG system often lies not in retrieval itself, but in how to tell the model via the prompt how to utilize the retrieved content.67% similarUnverifiedNotebookLM's RAG implementation strictly limits the retrieval scope to the dataset actively uploaded by the user, significantly improving retrieval accuracy and citation traceability compared to general RAG systems.65% similarUnverifiedRAG is essentially a read-only, passive retrieval system that cannot proactively take actions or reason across documents.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/890149API
curl https://kongchang.com/api/v1/knowledge/claims/890149MCP
get_claim(id=890149)