Expired50% 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(expired)
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% similarUnverified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% similarUnverifiedA model's context window has a physical upper limit and cannot ingest all information from an entire large codebase at once, which may result in code changes that are locally optimal but globally incorrect.62% similarUnverifiedEven if a model supports a context window of 128K or longer, stuffing all historical information into the prompt does not guarantee the model will correctly utilize that information, as attention dilution can cause critical information to be overlooked.62% similar
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