Comparison
agentic-rag-for-dummies vs ragtune
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 ragtune if ragtune is a Go-based benchmarking tool for RAG retrieval systems that allows users to inspect, debug, benchmark, and tune the retrieval layer.
Markdown twin · agentic-rag-for-dummies alternatives · ragtune alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | agentic-rag-for-dummies | ragtune |
|---|---|---|
| Maintenance | Active (19d since push) As of 1w · github_public_v1 | Slowing (129d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | Published findings 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
- ragtune
- Benchmarking tool for RAG retrieval, aiding in tuning and evaluating retrieval layers
Stars
- agentic-rag-for-dummies
- 3.9k
- ragtune
- 13
Forks
- agentic-rag-for-dummies
- 499
- ragtune
- 1
Open issues
- agentic-rag-for-dummies
- 0
- ragtune
- 0
Language
- agentic-rag-for-dummies
- Jupyter Notebook
- ragtune
- Go
Adopt for
- agentic-rag-for-dummies
- Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models.
- ragtune
- Ragtune is a Go-based benchmarking tool for RAG retrieval systems that allows users to inspect, debug, benchmark, and tune the retrieval layer.
Persona
- agentic-rag-for-dummies
- -
- ragtune
- -
Runtime
- agentic-rag-for-dummies
- -
- ragtune
- -
License
- agentic-rag-for-dummies
- MIT
- ragtune
- MIT
Last pushed
- agentic-rag-for-dummies
- Jul 25, 2026
- ragtune
- Mar 25, 2026
Categories
- agentic-rag-for-dummies
- AI Agents, Data & Retrieval
- ragtune
- Data & Retrieval, Evaluation & Observability
Trust and health
Maintenance
- agentic-rag-for-dummies
- Active (82%)
- ragtune
- Slowing (36%)
Days since push
- agentic-rag-for-dummies
- 19d
- ragtune
- 129d
Full report
- agentic-rag-for-dummies
- Trust report
- ragtune
- Trust report
Choose agentic-rag-for-dummies if…
- agentic-rag-for-dummies is primarily Jupyter Notebook; ragtune is Go.
- 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 ragtune if…
- ragtune is primarily Go; agentic-rag-for-dummies is Jupyter Notebook.
- Tags unique to ragtune: benchmarking, embeddings, metrics, retrieval-augmented-generation.
- Also covers Evaluation & Observability.
- For organizations using multiple vector search engines like Chroma or Pinecone because Ragtune supports them directly.
When NOT to use ragtune
- If your project relies on languages other than Go, as Ragtune might not integrate smoothly without additional effort.
- When the primary focus of retrieval layer tuning lies outside supported vector search engines like Chroma or Qdrant and no customization can be applied via the tool.
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 (metawake/ragtune) · observed Aug 2, 2026
- GitHub forks (metawake/ragtune) · observed Aug 2, 2026
- Last push (metawake/ragtune) · observed Mar 25, 2026
- License file (MIT) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentic-rag-for-dummies 3.9k · ragtune 13 (synced Aug 14, 2026).
Common questions
- What is the difference between agentic-rag-for-dummies and ragtune?
- agentic-rag-for-dummies: A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents. ragtune: Benchmarking tool for RAG retrieval, aiding in tuning and evaluating retrieval layers. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentic-rag-for-dummies over ragtune?
- Choose agentic-rag-for-dummies over ragtune when agentic-rag-for-dummies is primarily Jupyter Notebook; ragtune is Go; 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 ragtune over agentic-rag-for-dummies?
- Choose ragtune over agentic-rag-for-dummies when ragtune is primarily Go; agentic-rag-for-dummies is Jupyter Notebook; Tags unique to ragtune: benchmarking, embeddings, metrics, retrieval-augmented-generation; Also covers Evaluation & Observability; For organizations using multiple vector search engines like Chroma or Pinecone because Ragtune supports them directly.
- 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 ragtune?
- If your project relies on languages other than Go, as Ragtune might not integrate smoothly without additional effort. When the primary focus of retrieval layer tuning lies outside supported vector search engines like Chroma or Qdrant and no customization can be applied via the tool.
- Is agentic-rag-for-dummies or ragtune more popular on GitHub?
- agentic-rag-for-dummies has more GitHub stars (3,893 vs 13). Stars measure visibility, not whether either tool fits your constraints.
- Are agentic-rag-for-dummies and ragtune open source?
- Yes - both are open-source projects on GitHub (agentic-rag-for-dummies: MIT, ragtune: MIT).
- Where can I find alternatives to agentic-rag-for-dummies or ragtune?
- GraphCanon lists graph-backed alternatives at agentic-rag-for-dummies alternatives and ragtune alternatives (agentic-rag-for-dummies markdown twin, ragtune 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 ragtune?
- agentic-rag-for-dummies: Active. ragtune: Slowing. 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 ragtune?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentic-rag-for-dummies trust report; ragtune trust report.