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Tau-knowledge: benchmarking agents on real-world knowledge

Existing benchmarks fail to capture the complexity of agents navigating messy, evolving knowledge bases. τ-knowledge fills this gap by evaluating agents on search, reasoning, and multi-step tool use in a fintech-inspired customer support setting with 698 documents. Latest results show GPT-5.5 passing only 37.4% of tasks, indicating significant room for improvement.

SourceHacker News AIAuthor: tedsanders
Tau-knowledge: benchmarking agents on real-world knowledge
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Key points and analysis

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Key points

  • τ-knowledge benchmarks agents on searching, reasoning, and executing multi-step tool calls in a realistic knowledge base.
  • The τ-Banking knowledge base contains 698 documents across 21 product categories.
  • Leading model GPT-5.5 achieves 37.4% pass rate, up 11.9 percentage points but far from saturation.
  • Strong agents exhibit continuous retrieval, targeted search, and appropriate action calibration.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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