EnterpriseRAG-Bench
Dataset and benchmark for RAG on company internal documents
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
EnterpriseRAG-Bench specializes in benchmarking RAG models on company internal documents, offering specific evaluation metrics for enterprise-level data.
Good fit when
- When you need to evaluate retrieval-augmented generation models specifically for processing extensive and complex enterprise documentation
- If your project includes the creation of custom synthetic data tailored for enterprise scenarios
Avoid when
- Avoid if your focus is on general web or public-domain document benchmarking, as EnterpriseRAG-Bench is tuned exclusively for company internal documents
- Do not use if you require a solution that supports languages other than those implied by the existing dataset without further customization
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Active (16d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/onyx-dot-app/EnterpriseRAG-BenchSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Provides test data and evaluation metrics for retrieval-augmented generation models specifically tailored towards processing enterprise-level documentation.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Sep 20, 2026
Categories
Tags
README
<h1 align="center" EnterpriseRAG Bench</h1 <div align="center" <a href="https://huggingface.co/spaces/onyx dot app/EnterpriseRAG Bench Leaderboard" <img alt="Leaderboard" src="https://img.shields.io/badge/🏆%20Leaderboard yellow?color=FFD700" </a <a href="https://huggingface.co/d...
For agents
This page has a .md twin and JSON over the API.