Interrogate A Large Corpus Without Drowning Gemini
Use long-context Gemini to answer a large-corpus question with hierarchy, evidence, and manageable output.
A large corpus fits into Gemini, but the answer needs to remain accurate, inspectable, and useful. Keep the input broad only when the question and evidence format are narrow. Broad prompts over huge corpuses create answers that sound comprehensive while blurring exactly where the conclusion came from. 1 Define the smallest decision question that still makes the task valuable. This determines what the model should prioritize across the corpus. 2 Declare source hierarchy, recency rules, or authoritative files before asking for conclusions. Without hierarchy, the model has to improvise importance. 3 Ask for a constrained output such as risks, conflicts,…
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