onyx-dot-app / EnterpriseRAG-Bench
Dataset and benchmark for RAG on company internal documents.
Why this job: says: benchmark; topics: evaluation, llm-evaluation, benchmark
What it does
EnterpriseRAG Bench provides a dataset for company internal documents consisting of slightly over 500,000 documents and 500 questions. We release this dataset to help teams benchmark their RAG systems and fine-tune agents on realistic enterprise data. The code additionally provides a way of generating similar datasets for different industries, scales of companies, etc.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 6 months ago
- Stars
- 630
- +14 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.0.0
- Released 7 months ago
- Built with
- Not stated
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 10% closed
- 9 still open
- Pull requests
- 4 merged
- 4 waiting
- Releases
- 1
- 1 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: topics and project record
Topics
- benchmark
- dataset
- enterprise
- enterprise-search
- evaluation
- generative-ai
- information-retrieval
- knowledge-base
- large-language-models
- llm
- llm-evaluation
- python
Project record
- JobEvals and observability
- StatusListed
- Commits18
- Forks75
- Watching8
- Stars in 28 days+37
- CreatedFeb 19, 2026
- First seen by usNov 7, 2026
- CheckedNov 7, 2026