Leveraging a four-quadrant approach for evaluating Redpine Science

Key points

• Redpine Science gives models and agents a single access point to a wide range of peer-reviewed literature, queried directly through the Model Context Protocol (MCP) and an API.1
• Both public and expert-validated benchmarks are used.1
• On ScholarQABench SciFact, the public answer-quality benchmark reported here, an agent with Redpine Science answers 94.4% of claims correctly against 87.6% with no retrieval.1
• A blinded expert relevance panel places Redpine Science's Precision@5 at 75.2% against 39.8% for the PubMed search tool.1

Sources (1)

• [1]Leveraging a four-quadrant approach for evaluating Redpine Science
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 6, 08:11 AM

  This report evaluates Redpine Science on two levels: the relevance of the retrieved chunks, and a model's answer when it has access to Redpine Science compared to web search.

  Redpine Science gives models and agents a single access point to a wide range of peer-reviewed literature, queried directly through the Model Context Protocol (MCP) and an API.

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