Unverified50% confidenceFactExact time
An agent's context window is limited; reading an entire file into it consumes a large number of tokens, dilutes key information, and may cause the 'lost in the middle' phenomenon.
1
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50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
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Related Claims
UnverifiedAgents with poor summarization ability or that write lossy records from the start will lose information before it enters storage, rendering these rules ineffective.74% similarUnverifiedIn a RAG system, retrieving too much wastes context window space, while retrieving too little may miss critical information, making retrieval precision a key challenge.73% similarUnverifiedIn a multi-agent architecture, downstream agents can only obtain summaries and fragments from upstream agents, resulting in significant information loss during transmission.73% similarUnverifiedLong-term consumption of information in a fragmented manner may cause the brain to gradually lose the capacity for deep reading.72% similarUnverifiedFull-context injection avoids index staleness drift and retrieval missing key passages, but the cost is consuming tokens on every call, so it is only suitable for small-scale knowledge bases; large and dynamic knowledge bases must rely on retrieval.71% similar
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