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In production RAG, why must the context assembler calculate the evidence token budget dynamically using a formula such as Budget_Evidence = Budget_Total - (Tokens_System + Tokens_Query + Tokens_Output + Tokens_Buffer) rather than concatenating a static number of retrieved chunks?

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intermediate 45 min

Day 15: Assemble Context Under a Token Budget

Assemble Context Under a Token Budget

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In FieldDesk's context assembly pipeline above, what failure mode is prevented by enforcing the source diversity limit (count >= 2 per docId)?

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Research on the 'Lost in the Middle' phenomenon demonstrates that transformer language models attend most effectively to tokens placed at the extreme beginning and end of long input contexts. Given five admitted evidence chunks sorted in descending order of relevance [1, 2, 3, 4, 5], how should the attention-aware context packer arrange them in the prompt?

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