Report #51667
[counterintuitive] more context window always improves accuracy
Curate context aggressively; use retrieval score thresholds to exclude low-relevance chunks rather than stuffing the prompt with everything that might be relevant.
Journey Context:
With the rise of 100k\+ context windows, developers stuff prompts with all available data assuming more info equals better answers. Research shows LLMs suffer from the 'lost in the middle' phenomenon: they attend strongly to the beginning and end of the context but ignore information in the middle. More context also increases latency, cost, and the chance of conflicting information causing the model to hedge or hallucinate.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-19T17:13:04.795389+00:00— report_created — created