Comparison
agentic-rag-for-dummies vs rag-fusion
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 rag-fusion if rAG-Fusion leverages multi-query generation and Reciprocal Rank Fusion for enhanced retrieval-augmented generation tasks, supporting evaluations via NFCorpus/BEIR.
Markdown twin · agentic-rag-for-dummies alternatives · rag-fusion alternatives
GraphCanon updated Sep 20, 2026
7views this month
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Trust & integrity
| Signal | agentic-rag-for-dummies | rag-fusion |
|---|---|---|
| Maintenance | Active (20d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (146d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- rag-fusion
- multi-query generation + Reciprocal Rank Fusion for retrieval-augmented generation
Stars
- agentic-rag-for-dummies
- 4.2k
- rag-fusion
- 958
Forks
- agentic-rag-for-dummies
- 552
- rag-fusion
- 114
Open issues
- agentic-rag-for-dummies
- 0
- rag-fusion
- 0
Language
- agentic-rag-for-dummies
- Jupyter Notebook
- rag-fusion
- Python
Adopt for
- agentic-rag-for-dummies
- Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models.
- rag-fusion
- RAG-Fusion leverages multi-query generation and Reciprocal Rank Fusion for enhanced retrieval-augmented generation tasks, supporting evaluations via NFCorpus/BEIR.
Persona
- agentic-rag-for-dummies
- -
- rag-fusion
- -
Runtime
- agentic-rag-for-dummies
- -
- rag-fusion
- -
License
- agentic-rag-for-dummies
- MIT
- rag-fusion
- MIT
Last pushed
- agentic-rag-for-dummies
- Aug 30, 2026
- rag-fusion
- Apr 26, 2026
Categories
- agentic-rag-for-dummies
- AI Agents, Data & Retrieval
- rag-fusion
- Data & Retrieval, Evaluation & Observability
Trust and health
Maintenance
- agentic-rag-for-dummies
- Active (82%)
- rag-fusion
- Slowing (36%)
Days since push
- agentic-rag-for-dummies
- 20d
- rag-fusion
- 146d
Stars delta
- agentic-rag-for-dummies
- +295 (30d)
- rag-fusion
- +12 (30d)
OSV dependency advisories
- agentic-rag-for-dummies
- Published findings
- rag-fusion
- No lockfile (source not queried)
Full report
- agentic-rag-for-dummies
- Trust report
- rag-fusion
- Trust report
Shared compatibility
- Python · agentic-rag-for-dummies: Python runtime · rag-fusion: Python runtime
Choose agentic-rag-for-dummies if…
- agentic-rag-for-dummies is primarily Jupyter Notebook; rag-fusion is Python.
- 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 rag-fusion if…
- rag-fusion is primarily Python; agentic-rag-for-dummies is Jupyter Notebook.
- Tags unique to rag-fusion: chromadb, information retrieval, openai, python.
- Also covers Evaluation & Observability.
- For enhancing precision in retrieval-augmented generation tasks needing complex query processing
When NOT to use rag-fusion
- If you require real-time performance, as multi-query generation may introduce latency
- In scenarios where only simple keyword-based search suffices without the need for advanced fusion techniques
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 Sep 20, 2026
- GitHub forks (GiovanniPasq/agentic-rag-for-dummies) · observed Sep 20, 2026
- Last push (GiovanniPasq/agentic-rag-for-dummies) · observed Aug 30, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (Raudaschl/rag-fusion) · observed Sep 20, 2026
- GitHub forks (Raudaschl/rag-fusion) · observed Sep 20, 2026
- Last push (Raudaschl/rag-fusion) · observed Apr 26, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentic-rag-for-dummies 4.2k · rag-fusion 958 (synced Sep 20, 2026).
Common questions
- What is the difference between agentic-rag-for-dummies and rag-fusion?
- agentic-rag-for-dummies: A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents. rag-fusion: multi-query generation + Reciprocal Rank Fusion for retrieval-augmented generation. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentic-rag-for-dummies over rag-fusion?
- Choose agentic-rag-for-dummies over rag-fusion when agentic-rag-for-dummies is primarily Jupyter Notebook; rag-fusion is Python; 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 rag-fusion over agentic-rag-for-dummies?
- Choose rag-fusion over agentic-rag-for-dummies when rag-fusion is primarily Python; agentic-rag-for-dummies is Jupyter Notebook; Tags unique to rag-fusion: chromadb, information retrieval, openai, python; Also covers Evaluation & Observability; For enhancing precision in retrieval-augmented generation tasks needing complex query processing.
- 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 rag-fusion?
- If you require real-time performance, as multi-query generation may introduce latency In scenarios where only simple keyword-based search suffices without the need for advanced fusion techniques
- Is agentic-rag-for-dummies or rag-fusion more popular on GitHub?
- agentic-rag-for-dummies has more GitHub stars (4,188 vs 958). Stars measure visibility, not whether either tool fits your constraints.
- Are agentic-rag-for-dummies and rag-fusion open source?
- Yes - both are open-source projects on GitHub (agentic-rag-for-dummies: MIT, rag-fusion: MIT).
- Where can I find alternatives to agentic-rag-for-dummies or rag-fusion?
- GraphCanon lists graph-backed alternatives at agentic-rag-for-dummies alternatives and rag-fusion alternatives (agentic-rag-for-dummies markdown twin, rag-fusion 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 rag-fusion?
- agentic-rag-for-dummies: Active. rag-fusion: 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 rag-fusion?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentic-rag-for-dummies trust report; rag-fusion trust report.