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Unverified50% confidenceFactTime unknown

Context window limitations in LLMs cause them to struggle with schema information spanning hundreds of columns

1

Sources

50%

Confidence

Medium-term (~90 days)

Relevance

7/2/2026

First Seen

Valid until: 9/30/2026

Sources

How Enterprise Text-to-SQL Breaks the 90% Accuracy Barrier: A Practical Guide to Agent Architecture

bilibiliAI大模型全战

Related Claims

UnverifiedLLMs tend to hallucinate when faced with massive schema information, sometimes misattributing columns from one table to another72% similar Unverified确定性的信息应走Context，允许Agent探索的走Query；放错会导致Context塞入过多Token增加干扰，或Query配置过窄导致LLM编造64% similar Unverified上下文窗口限制导致模型无法一次性处理几十万行代码，需通过RAG或语义搜索动态注入相关代码片段63% similar Unverified模型的上下文窗口存在物理上限，无法一次性摄入整个大型代码库的全部信息，可能导致局部最优但全局错误的代码变更62% similar Unverified即使模型支持128K或更长的上下文窗口，将所有历史信息塞入Prompt也不能保证模型正确利用这些信息，注意力稀释会导致关键信息被忽略62% similar

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