AppliedAIPrep logoAppliedAI/Prep
← RAG & Agent System Design / 51
mediumGleanPerplexityNotion

Your RAG keeps retrieving near-duplicate chunks, wasting the context window. How do you diversify results?

Top-k by pure similarity often hands the model five paraphrases of the same paragraph, starving it of the other facts the question needs. The fix is ranking for relevance and novelty at once. Here is how.

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

Top-k by pure similarity often hands the model five paraphrases of the same paragraph, starving it of the other facts the question needs. The fix is ranking for relevance and novelty at once. Here is how.

Unlock the other 750 answers · ₹2,000 / $25Your progress and mastery stay saved · 6 months · one payment · no auto-renew
UP NEXT ON YOUR JOURNEY
Next in this trackYour agent loops forever or never finishes the task. How do you bound and control agent execution?Next in this trackA tool your agent depends on returns errors or garbage. How do you make the agent robust to tool failures?Next in this trackUsers ask vague, underspecified questions your RAG can't answer well. How do you handle query understanding and clarification?
DISCUSSION · 0

No comments yet — be the first to share your approach.