Comparison
agentic-rag-for-dummies vs EnterpriseRAG-Bench
Verdict
Pick agentic-rag-for-dummies if agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models; 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 · agentic-rag-for-dummies alternatives · EnterpriseRAG-Bench alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | agentic-rag-for-dummies | EnterpriseRAG-Bench |
|---|---|---|
| Maintenance | Active (19d since push) As of 1w · github_public_v1 | Steady (81d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | Published findings 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
- agentic-rag-for-dummies
- A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents
- EnterpriseRAG-Bench
- Dataset and benchmark for RAG on company internal documents
Stars
- agentic-rag-for-dummies
- 3.9k
- EnterpriseRAG-Bench
- 489
Forks
- agentic-rag-for-dummies
- 499
- EnterpriseRAG-Bench
- 52
Open issues
- agentic-rag-for-dummies
- 0
- EnterpriseRAG-Bench
- 9
Language
- agentic-rag-for-dummies
- Jupyter Notebook
- EnterpriseRAG-Bench
- -
Adopt for
- agentic-rag-for-dummies
- Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models.
- EnterpriseRAG-Bench
- EnterpriseRAG-Bench specializes in benchmarking RAG models on company internal documents, offering specific evaluation metrics for enterprise-level data.
Persona
- agentic-rag-for-dummies
- -
- EnterpriseRAG-Bench
- -
Runtime
- agentic-rag-for-dummies
- -
- EnterpriseRAG-Bench
- -
License
- agentic-rag-for-dummies
- MIT
- EnterpriseRAG-Bench
- MIT license allows free usage and modification with attribution.
Last pushed
- agentic-rag-for-dummies
- Jul 25, 2026
- EnterpriseRAG-Bench
- May 8, 2026
Categories
- agentic-rag-for-dummies
- AI Agents, Data & Retrieval
- EnterpriseRAG-Bench
- Data & Retrieval, Evaluation & Observability
Trust and health
Maintenance
- agentic-rag-for-dummies
- Active (82%)
- EnterpriseRAG-Bench
- Steady (60%)
Days since push
- agentic-rag-for-dummies
- 19d
- EnterpriseRAG-Bench
- 81d
Open issues (now)
- agentic-rag-for-dummies
- 0
- EnterpriseRAG-Bench
- 9
Owner type
- agentic-rag-for-dummies
- User
- EnterpriseRAG-Bench
- Organization
OSV dependency advisories
- agentic-rag-for-dummies
- Published findings
- EnterpriseRAG-Bench
- No lockfile (source not queried)
Full report
- agentic-rag-for-dummies
- Trust report
- EnterpriseRAG-Bench
- Trust report
Choose agentic-rag-for-dummies if…
- Tags unique to agentic-rag-for-dummies: agent, agentic-ai, bm25, gradio.
- Also covers AI Agents.
- When aiming to quickly develop a retrieval-augmented generation agent, thanks to its streamlined setup with LangGraph.
When NOT to use agentic-rag-for-dummies
- If smaller language model sizes are required as they might ignore retrieval instructions or hallucinate details.
- Projects sensitive about Docker and system requirements must carefully review the outlined conditions for deployment.
Choose EnterpriseRAG-Bench if…
- Tags unique to EnterpriseRAG-Bench: benchmark, dataset, enterprise-search, evaluation.
- Also covers Evaluation & Observability.
- 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 (GiovanniPasq/agentic-rag-for-dummies) · observed Aug 14, 2026
- GitHub forks (GiovanniPasq/agentic-rag-for-dummies) · observed Aug 14, 2026
- Last push (GiovanniPasq/agentic-rag-for-dummies) · observed Jul 25, 2026
- License file (MIT) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 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: agentic-rag-for-dummies 3.9k · EnterpriseRAG-Bench 489 (synced Aug 14, 2026).
Common questions
- What is the difference between agentic-rag-for-dummies and EnterpriseRAG-Bench?
- agentic-rag-for-dummies: A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents. 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 agentic-rag-for-dummies over EnterpriseRAG-Bench?
- Choose agentic-rag-for-dummies over EnterpriseRAG-Bench when Tags unique to agentic-rag-for-dummies: agent, agentic-ai, bm25, gradio; Also covers AI Agents; When aiming to quickly develop a retrieval-augmented generation agent, thanks to its streamlined setup with LangGraph.
- When should I choose EnterpriseRAG-Bench over agentic-rag-for-dummies?
- Choose EnterpriseRAG-Bench over agentic-rag-for-dummies when Tags unique to EnterpriseRAG-Bench: benchmark, dataset, enterprise-search, evaluation; Also covers Evaluation & Observability; When you need to evaluate retrieval-augmented generation models specifically for processing extensive and complex enterprise documentation.
- When should I avoid agentic-rag-for-dummies?
- If smaller language model sizes are required as they might ignore retrieval instructions or hallucinate details. Projects sensitive about Docker and system requirements must carefully review the outlined conditions for deployment.
- 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 agentic-rag-for-dummies or EnterpriseRAG-Bench more popular on GitHub?
- agentic-rag-for-dummies has more GitHub stars (3,893 vs 489). Stars measure visibility, not whether either tool fits your constraints.
- Are agentic-rag-for-dummies and EnterpriseRAG-Bench open source?
- Yes - both are open-source projects on GitHub (agentic-rag-for-dummies: MIT, EnterpriseRAG-Bench: MIT).
- Where can I find alternatives to agentic-rag-for-dummies or EnterpriseRAG-Bench?
- GraphCanon lists graph-backed alternatives at agentic-rag-for-dummies alternatives and EnterpriseRAG-Bench alternatives (agentic-rag-for-dummies 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, agentic-rag-for-dummies or EnterpriseRAG-Bench?
- agentic-rag-for-dummies: 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 agentic-rag-for-dummies and EnterpriseRAG-Bench?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentic-rag-for-dummies trust report; EnterpriseRAG-Bench trust report.