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Retrieval-Reasoning Spectrum

Knowledge base queries are not uniform. They lie on a spectrum from focused retrieval to exhaustive reasoning.

The key design error is treating all queries as if they were the same retrieval problem.

Focused retrieval queries target a specific fact, entity, or document.

Typical shape:

  • One or a few sources likely contain the answer.
  • Success depends on precision and speed.
  • Latency and cost are primary concerns.

This is where RAG-style retrieval usually performs well.

Exhaustive reasoning queries require synthesis across a broad slice of the corpus, sometimes the entire corpus.

Typical shape:

  • No single source contains the full answer.
  • The answer emerges from aggregation, comparison, or pattern detection.
  • Completeness and reasoning quality matter more than raw speed.

This is where recursive or programmatic analysis patterns become necessary.

If exhaustive queries are forced through focused retrieval only, systems tend to return partial answers with high confidence.

If focused queries are forced through exhaustive reasoning only, systems incur unnecessary cost and latency.

The correct architecture recognizes both query classes and routes accordingly.