--- title: "AutoRAG vs EnterpriseRAG-Bench" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/marker-inc-korea-autorag-vs-onyx-dot-app-enterpriserag-bench" tools: ["marker-inc-korea-autorag", "onyx-dot-app-enterpriserag-bench"] --- # AutoRAG vs EnterpriseRAG-Bench *GraphCanon updated Aug 8, 2026* ## 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. [AutoRAG](https://marker-inc-korea.github.io/AutoRAG/) reports 5.0k GitHub stars, 419 forks, and 123 open issues, last pushed Aug 5, 2026. [EnterpriseRAG-Bench](https://www.onyx.app/) has 489 stars, 52 forks, and 9 open issues, last pushed May 8, 2026. Figures are from public GitHub metadata via [AutoRAG's repository](https://github.com/Marker-Inc-Korea/AutoRAG) and [EnterpriseRAG-Bench's repository](https://github.com/onyx-dot-app/EnterpriseRAG-Bench). | | [AutoRAG](/tools/marker-inc-korea-autorag.md) | [EnterpriseRAG-Bench](/tools/onyx-dot-app-enterpriserag-bench.md) | | --- | --- | --- | | Tagline | Open-source framework for RAG evaluation and optimization via AutoML | Dataset and benchmark for RAG on company internal documents | | Stars | 4,968 | 489 | | Forks | 419 | 52 | | Open issues | 123 | 9 | | Language | TypeScript | - | | Adopt for | AutoRAG: Automate RAG task evaluation and optimization using AutoML techniques. | EnterpriseRAG-Bench specializes in benchmarking RAG models on company internal documents, offering specific evaluation metrics for enterprise-level data. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 licensed, allowing free use in commercial projects while retaining copyright notices. | MIT license allows free usage and modification with attribution. | | Categories | Evaluation & Observability, Model Training | Data & Retrieval, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AutoRAG](/tools/marker-inc-korea-autorag.md) | [EnterpriseRAG-Bench](/tools/onyx-dot-app-enterpriserag-bench.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 2d | 81d | | Open issues (now) | 123 | 9 | | Full report | [trust report](/tools/marker-inc-korea-autorag/trust.md) | [trust report](/tools/onyx-dot-app-enterpriserag-bench/trust.md) | ## Decision facts: AutoRAG - **Adopt for:** AutoRAG: Automate RAG task evaluation and optimization using AutoML techniques. - **License detail:** Apache-2.0 licensed, allowing free use in commercial projects while retaining copyright notices. ## Decision facts: EnterpriseRAG-Bench - **Adopt for:** EnterpriseRAG-Bench specializes in benchmarking RAG models on company internal documents, offering specific evaluation metrics for enterprise-level data. - **License detail:** MIT license allows free usage and modification with attribution. ## Choose when ### 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 ### 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 AutoRAG - Requirements exceed capabilities of open-source tools - No need for RAG-specific optimization and evaluation features ## 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 ## 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](/tools/marker-inc-korea-autorag/alternatives) and [EnterpriseRAG-Bench alternatives](/tools/onyx-dot-app-enterpriserag-bench/alternatives) ([AutoRAG markdown twin](/tools/marker-inc-korea-autorag/alternatives.md), [EnterpriseRAG-Bench markdown twin](/tools/onyx-dot-app-enterpriserag-bench/alternatives.md)), 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](/compare/marker-inc-korea-autorag-vs-onyx-dot-app-enterpriserag-bench.md) 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](/tools/marker-inc-korea-autorag/trust); [EnterpriseRAG-Bench trust report](/tools/onyx-dot-app-enterpriserag-bench/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=marker-inc-korea-autorag`](/api/graphcanon/graph?tool=marker-inc-korea-autorag) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_