mediumGlean Perplexity Cohere

How do you choose top-k and the context budget for RAG, given recall, noise, and cost all pull against each other?

More chunks means higher recall but more noise, more cost, and more lost-in-the-middle. The right k is an empirical tradeoff, not a default of 5. Here is how to find it.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

More chunks means higher recall but more noise, more cost, and more lost-in-the-middle. The right k is an empirical tradeoff, not a default of 5. Here is how to find it.

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Next in this trackYour multi-agent system fails silently and you can't tell which step broke. How do you trace and debug it?Next in this trackYour RAG system aces your eval set but fails on real user queries. How do you close the gap?Next in this trackShould you build agent orchestration yourself or use a framework like LangGraph? How do you decide?

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