--- title: "brain-in-the-fish vs EnterpriseRAG-Bench" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/fabio-rovai-brain-in-the-fish-vs-onyx-dot-app-enterpriserag-bench" tools: ["fabio-rovai-brain-in-the-fish", "onyx-dot-app-enterpriserag-bench"] --- # brain-in-the-fish vs EnterpriseRAG-Bench *GraphCanon updated Aug 8, 2026* ## Verdict Pick brain-in-the-fish if brain-in-the-fish is an ontology-based document evaluation tool that verifies claims using RDF, OWL, SPARQL, and supports anti-hallucination; pick EnterpriseRAG-Bench if enterpriseRAG-Bench specializes in benchmarking RAG models on company internal documents, offering specific evaluation metrics for enterprise-level data. [brain-in-the-fish](https://github.com/fabio-rovai/brain-in-the-fish) reports 83 GitHub stars, 15 forks, and 0 open issues, last pushed Apr 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 [brain-in-the-fish's repository](https://github.com/fabio-rovai/brain-in-the-fish) and [EnterpriseRAG-Bench's repository](https://github.com/onyx-dot-app/EnterpriseRAG-Bench). | | [brain-in-the-fish](/tools/fabio-rovai-brain-in-the-fish.md) | [EnterpriseRAG-Bench](/tools/onyx-dot-app-enterpriserag-bench.md) | | --- | --- | --- | | Tagline | Score any document. Prove every claim. | Dataset and benchmark for RAG on company internal documents | | Stars | 83 | 489 | | Forks | 15 | 52 | | Open issues | 0 | 9 | | Language | Rust | - | | Adopt for | brain-in-the-fish is an ontology-based document evaluation tool that verifies claims using RDF, OWL, SPARQL, and supports anti-hallucination. | EnterpriseRAG-Bench specializes in benchmarking RAG models on company internal documents, offering specific evaluation metrics for enterprise-level data. | | Persona | - | - | | Runtime | - | - | | License | MIT | 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._ | | [brain-in-the-fish](/tools/fabio-rovai-brain-in-the-fish.md) | [EnterpriseRAG-Bench](/tools/onyx-dot-app-enterpriserag-bench.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Steady (60%) | | Days since push | 125d | 81d | | Open issues (now) | 0 | 9 | | Owner type | User | Organization | | Full report | [trust report](/tools/fabio-rovai-brain-in-the-fish/trust.md) | [trust report](/tools/onyx-dot-app-enterpriserag-bench/trust.md) | ## Decision facts: brain-in-the-fish - **Adopt for:** brain-in-the-fish is an ontology-based document evaluation tool that verifies claims using RDF, OWL, SPARQL, and supports anti-hallucination. ## 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 brain-in-the-fish if… - Tags unique to brain-in-the-fish: ai, anti-hallucination, audit-trail, document-evaluation. - Also covers Model Training. - brain-in-the-fish ships Docker support for self-hosted deployment. - Need Rust-based tools for document scoring and claim verification with strong focus on audit trails ### Choose EnterpriseRAG-Bench if… - Tags unique to EnterpriseRAG-Bench: benchmark, dataset, enterprise-search, evaluation. - 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 brain-in-the-fish - Do not use when your evaluation needs are simpler or require a different programming language than Rust - Avoid if you do not need support for complex features such as RDF, OWL, and SPARQL integrations ## 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 brain-in-the-fish and EnterpriseRAG-Bench? brain-in-the-fish: Score any document. Prove every claim.. 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 brain-in-the-fish over EnterpriseRAG-Bench? Choose brain-in-the-fish over EnterpriseRAG-Bench when Tags unique to brain-in-the-fish: ai, anti-hallucination, audit-trail, document-evaluation; Also covers Model Training; brain-in-the-fish ships Docker support for self-hosted deployment; Need Rust-based tools for document scoring and claim verification with strong focus on audit trails. ### When should I choose EnterpriseRAG-Bench over brain-in-the-fish? Choose EnterpriseRAG-Bench over brain-in-the-fish when Tags unique to EnterpriseRAG-Bench: benchmark, dataset, enterprise-search, evaluation; 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 brain-in-the-fish? Do not use when your evaluation needs are simpler or require a different programming language than Rust Avoid if you do not need support for complex features such as RDF, OWL, and SPARQL integrations ### 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 brain-in-the-fish or EnterpriseRAG-Bench more popular on GitHub? EnterpriseRAG-Bench has more GitHub stars (489 vs 83). Stars measure visibility, not whether either tool fits your constraints. ### Are brain-in-the-fish and EnterpriseRAG-Bench open source? Yes - both are open-source projects on GitHub (brain-in-the-fish: MIT, EnterpriseRAG-Bench: MIT). ### Where can I find alternatives to brain-in-the-fish or EnterpriseRAG-Bench? GraphCanon lists graph-backed alternatives at [brain-in-the-fish alternatives](/tools/fabio-rovai-brain-in-the-fish/alternatives) and [EnterpriseRAG-Bench alternatives](/tools/onyx-dot-app-enterpriserag-bench/alternatives) ([brain-in-the-fish markdown twin](/tools/fabio-rovai-brain-in-the-fish/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/fabio-rovai-brain-in-the-fish-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, brain-in-the-fish or EnterpriseRAG-Bench? brain-in-the-fish: Slowing. 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 brain-in-the-fish and EnterpriseRAG-Bench? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [brain-in-the-fish trust report](/tools/fabio-rovai-brain-in-the-fish/trust); [EnterpriseRAG-Bench trust report](/tools/onyx-dot-app-enterpriserag-bench/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=fabio-rovai-brain-in-the-fish`](/api/graphcanon/graph?tool=fabio-rovai-brain-in-the-fish) - 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/_