Context Optimization · seb1n/awesome-ai-agent-skills

Deduplicate and reorder retrieved context for a prompt

Deduplicates overlapping passages from a retrieved context set, scores each chunk for relevance and density, then reorders and allocates the token budget. Useful when RAG results are noisy or exceed the model's usable context length.

Good for

  • Remove duplicate chunks from search results
  • Score and reorder context by relevance
  • Trim retrieved context to fit a token budget
Category
Coding

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A good place to start

Deduplicate and reorder these retrieved chunks, then trim them to fit within a 4,000-token budget.

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