CRAG

CRAG (Comprehensive RAG Benchmark) is a factual question answering benchmark consisting of 4,409 question-answer pairs across 5 domains (finance, sports, music, movie, open domain) and 8 question categories. The benchmark includes mock APIs to simulate web and Knowledge Graph search, designed to represent the diverse and dynamic nature of real-world QA tasks with temporal dynamism ranging from years to seconds. It evaluates retrieval-augmented generation systems for trustworthy question answering.

Nova Pro from Amazon currently leads the CRAG leaderboard with a score of 0.503 across 3 evaluated AI models.

Paper

AmazonNova Pro leads with 50.3%, followed by AmazonNova Lite at 43.8% and AmazonNova Micro at 43.1%.

Progress Over Time

Interactive timeline showing model performance evolution on CRAG

State-of-the-art frontier
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CRAG Leaderboard

3 models
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Amazon
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FAQ

Common questions about CRAG.

What is the CRAG benchmark?

CRAG (Comprehensive RAG Benchmark) is a factual question answering benchmark consisting of 4,409 question-answer pairs across 5 domains (finance, sports, music, movie, open domain) and 8 question categories. The benchmark includes mock APIs to simulate web and Knowledge Graph search, designed to represent the diverse and dynamic nature of real-world QA tasks with temporal dynamism ranging from years to seconds. It evaluates retrieval-augmented generation systems for trustworthy question answering.

What is the CRAG leaderboard?

The CRAG leaderboard ranks 3 AI models based on their performance on this benchmark. Currently, Nova Pro by Amazon leads with a score of 0.503. The average score across all models is 0.457.

What is the highest CRAG score?

The highest CRAG score is 0.503, achieved by Nova Pro from Amazon.

How many models are evaluated on CRAG?

3 models have been evaluated on the CRAG benchmark, with 0 verified results and 3 self-reported results.

Where can I find the CRAG paper?

The CRAG paper is available at https://arxiv.org/abs/2406.04744. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does CRAG cover?

CRAG is categorized under economics, finance, reasoning, and search. The benchmark evaluates text models.

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