Comparison
AutoRAG vs EnterpriseRAG-Bench
Verdict
Pick AutoRAG if autoRAG: Automate RAG task evaluation and optimization using AutoML techniques; pick EnterpriseRAG-Bench if enterpriseRAG-Bench specializes in benchmarking RAG models on company internal documents, offering specific evaluation metrics for enterprise-level data.
Markdown twin · AutoRAG alternatives · EnterpriseRAG-Bench alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | AutoRAG | EnterpriseRAG-Bench |
|---|---|---|
| Maintenance | Very active (2d since push) As of 1w · github_public_v1 | Steady (81d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- AutoRAG
- Open-source framework for RAG evaluation and optimization via AutoML
- EnterpriseRAG-Bench
- Dataset and benchmark for RAG on company internal documents
Stars
- AutoRAG
- 5.0k
- EnterpriseRAG-Bench
- 489
Forks
- AutoRAG
- 419
- EnterpriseRAG-Bench
- 52
Open issues
- AutoRAG
- 123
- EnterpriseRAG-Bench
- 9
Language
- AutoRAG
- TypeScript
- EnterpriseRAG-Bench
- -
Adopt for
- AutoRAG
- AutoRAG: Automate RAG task evaluation and optimization using AutoML techniques.
- EnterpriseRAG-Bench
- EnterpriseRAG-Bench specializes in benchmarking RAG models on company internal documents, offering specific evaluation metrics for enterprise-level data.
Persona
- AutoRAG
- -
- EnterpriseRAG-Bench
- -
Runtime
- AutoRAG
- -
- EnterpriseRAG-Bench
- -
License
- AutoRAG
- Apache-2.0 licensed, allowing free use in commercial projects while retaining copyright notices.
- EnterpriseRAG-Bench
- MIT license allows free usage and modification with attribution.
Last pushed
- AutoRAG
- Aug 5, 2026
- EnterpriseRAG-Bench
- May 8, 2026
Categories
- AutoRAG
- Evaluation & Observability, Model Training
- EnterpriseRAG-Bench
- Data & Retrieval, Evaluation & Observability
Trust and health
Maintenance
- AutoRAG
- Very active (96%)
- EnterpriseRAG-Bench
- Steady (60%)
Days since push
- AutoRAG
- 2d
- EnterpriseRAG-Bench
- 81d
Open issues (now)
- AutoRAG
- 123
- EnterpriseRAG-Bench
- 9
Full report
- AutoRAG
- Trust report
- EnterpriseRAG-Bench
- Trust report
Choose AutoRAG if…
- License: AutoRAG is Apache-2.0, EnterpriseRAG-Bench is MIT.
- Tags unique to AutoRAG: analysis, automl, benchmarking, document-parser.
- Also covers Model Training.
- Automated benchmarking is needed for retrieval-augmented generation tasks
When NOT to use AutoRAG
- Requirements exceed capabilities of open-source tools
- No need for RAG-specific optimization and evaluation features
Choose EnterpriseRAG-Bench if…
- License: EnterpriseRAG-Bench is MIT, AutoRAG is Apache-2.0.
- Tags unique to EnterpriseRAG-Bench: benchmark, dataset, enterprise-search, information-retrieval.
- Also covers Data & Retrieval.
- When you need to evaluate retrieval-augmented generation models specifically for processing extensive and complex enterprise documentation
When NOT to use EnterpriseRAG-Bench
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Marker-Inc-Korea/AutoRAG) · observed Aug 8, 2026
- GitHub forks (Marker-Inc-Korea/AutoRAG) · observed Aug 8, 2026
- Last push (Marker-Inc-Korea/AutoRAG) · observed Aug 5, 2026
- License file (Apache-2.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (onyx-dot-app/EnterpriseRAG-Bench) · observed Jul 28, 2026
- GitHub forks (onyx-dot-app/EnterpriseRAG-Bench) · observed Jul 28, 2026
- Last push (onyx-dot-app/EnterpriseRAG-Bench) · observed May 8, 2026
- License file (MIT) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: AutoRAG 5.0k · EnterpriseRAG-Bench 489 (synced Aug 8, 2026).
Common questions
- What is the difference between AutoRAG and EnterpriseRAG-Bench?
- AutoRAG: Open-source framework for RAG evaluation and optimization via AutoML. EnterpriseRAG-Bench: Dataset and benchmark for RAG on company internal documents. See the comparison table for live GitHub stats and shared categories.
- When should I choose AutoRAG over EnterpriseRAG-Bench?
- Choose AutoRAG over EnterpriseRAG-Bench when License: AutoRAG is Apache-2.0, EnterpriseRAG-Bench is MIT; Tags unique to AutoRAG: analysis, automl, benchmarking, document-parser; Also covers Model Training; Automated benchmarking is needed for retrieval-augmented generation tasks.
- When should I choose EnterpriseRAG-Bench over AutoRAG?
- Choose EnterpriseRAG-Bench over AutoRAG when License: EnterpriseRAG-Bench is MIT, AutoRAG is Apache-2.0; Tags unique to EnterpriseRAG-Bench: benchmark, dataset, enterprise-search, information-retrieval; Also covers Data & Retrieval; When you need to evaluate retrieval-augmented generation models specifically for processing extensive and complex enterprise documentation.
- When should I avoid AutoRAG?
- Requirements exceed capabilities of open-source tools No need for RAG-specific optimization and evaluation features
- When should I avoid EnterpriseRAG-Bench?
- 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
- Is AutoRAG or EnterpriseRAG-Bench more popular on GitHub?
- AutoRAG has more GitHub stars (4,968 vs 489). Stars measure visibility, not whether either tool fits your constraints.
- Are AutoRAG and EnterpriseRAG-Bench open source?
- Yes - both are open-source projects on GitHub (AutoRAG: Apache-2.0, EnterpriseRAG-Bench: MIT).
- Where can I find alternatives to AutoRAG or EnterpriseRAG-Bench?
- GraphCanon lists graph-backed alternatives at AutoRAG alternatives and EnterpriseRAG-Bench alternatives (AutoRAG markdown twin, EnterpriseRAG-Bench markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, AutoRAG or EnterpriseRAG-Bench?
- AutoRAG: Very active. EnterpriseRAG-Bench: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for AutoRAG and EnterpriseRAG-Bench?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoRAG trust report; EnterpriseRAG-Bench trust report.