Comparison
all-in-rag vs agentic-rag-for-dummies
Verdict
Pick all-in-rag if all-in-rag is a comprehensive guide for developers to learn about and implement RAG (Retrieval-Augmented Generation) technology, with a focus on end-to-end practical applications and multi-modal support. It provides an体系; pick agentic-rag-for-dummies if agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models.
Markdown twin · all-in-rag alternatives · agentic-rag-for-dummies alternatives
GraphCanon updated 2d
Trust & integrity
| Signal | all-in-rag | agentic-rag-for-dummies |
|---|---|---|
| Maintenance | Active (20d since push) As of 2d · github_public_v1 | Active (19d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2d · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- all-in-rag
- 🔍 检索增强生成 (RAG) 技术全栈指南
- agentic-rag-for-dummies
- A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents
Stars
- all-in-rag
- 10k
- agentic-rag-for-dummies
- 3.9k
Forks
- all-in-rag
- 5.2k
- agentic-rag-for-dummies
- 499
Open issues
- all-in-rag
- 23
- agentic-rag-for-dummies
- 0
Language
- all-in-rag
- Python
- agentic-rag-for-dummies
- Jupyter Notebook
Adopt for
- all-in-rag
- all-in-rag is a comprehensive guide for developers to learn about and implement RAG (Retrieval-Augmented Generation) technology, with a focus on end-to-end practical applications and multi-modal support. It provides an体系
- agentic-rag-for-dummies
- Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models.
Persona
- all-in-rag
- -
- agentic-rag-for-dummies
- -
Runtime
- all-in-rag
- -
- agentic-rag-for-dummies
- -
License
- all-in-rag
- -
- agentic-rag-for-dummies
- MIT
Last pushed
- all-in-rag
- Jul 29, 2026
- agentic-rag-for-dummies
- Jul 25, 2026
Categories
- all-in-rag
- Data & Retrieval, LLM Frameworks
- agentic-rag-for-dummies
- AI Agents, Data & Retrieval
Trust and health
Days since push
- all-in-rag
- 20d
- agentic-rag-for-dummies
- 19d
Open issues (now)
- all-in-rag
- 23
- agentic-rag-for-dummies
- 0
Stars delta
- all-in-rag
- +815 (30d)
- agentic-rag-for-dummies
- Unknown
Open issues delta
- all-in-rag
- +3 (30d)
- agentic-rag-for-dummies
- Unknown
Owner type
- all-in-rag
- Organization
- agentic-rag-for-dummies
- User
OSV dependency advisories
- all-in-rag
- No lockfile (source not queried)
- agentic-rag-for-dummies
- Published findings
Full report
- all-in-rag
- Trust report
- agentic-rag-for-dummies
- Trust report
Shared compatibility
- Python · all-in-rag: Python runtime · agentic-rag-for-dummies: Python runtime
Choose all-in-rag if…
- all-in-rag is primarily Python; agentic-rag-for-dummies is Jupyter Notebook.
- Tags unique to all-in-rag: ai, embedding, milvus, multimodal.
- Also covers LLM Frameworks.
- - When you want a comprehensive resource that covers both the theoretical foundations and practical application of RAG.
When NOT to use all-in-rag
- - Avoid if you are looking for a solution that only focuses on theoretical aspects without practical implementation guidance.
- - If your project does not require multi-modal support or is solely focused on text-based applications, more specialized tools might provide better optimization.
- - Not suitable if you're seeking quick prototyping or a light-weight framework; all-in-rag emphasizes comprehensive learning and production-ready practices.
Choose agentic-rag-for-dummies if…
- agentic-rag-for-dummies is primarily Jupyter Notebook; all-in-rag 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (datawhalechina/all-in-rag) · observed Aug 18, 2026
- GitHub forks (datawhalechina/all-in-rag) · observed Aug 18, 2026
- Last push (datawhalechina/all-in-rag) · observed Jul 29, 2026
- License file (unknown) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: all-in-rag 10k · agentic-rag-for-dummies 3.9k (synced Aug 18, 2026).
Common questions
- What is the difference between all-in-rag and agentic-rag-for-dummies?
- all-in-rag: 🔍 检索增强生成 (RAG) 技术全栈指南. agentic-rag-for-dummies: A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose all-in-rag over agentic-rag-for-dummies?
- Choose all-in-rag over agentic-rag-for-dummies when all-in-rag is primarily Python; agentic-rag-for-dummies is Jupyter Notebook; Tags unique to all-in-rag: ai, embedding, milvus, multimodal; Also covers LLM Frameworks; - When you want a comprehensive resource that covers both the theoretical foundations and practical application of RAG.
- When should I choose agentic-rag-for-dummies over all-in-rag?
- Choose agentic-rag-for-dummies over all-in-rag when agentic-rag-for-dummies is primarily Jupyter Notebook; all-in-rag 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 avoid all-in-rag?
- - Avoid if you are looking for a solution that only focuses on theoretical aspects without practical implementation guidance. - If your project does not require multi-modal support or is solely focused on text-based applications, more specialized tools might provide better optimization. - Not suitable if you're seeking quick prototyping or a light-weight framework; all-in-rag emphasizes comprehensive learning and production-ready practices.
- 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.
- Is all-in-rag or agentic-rag-for-dummies more popular on GitHub?
- all-in-rag has more GitHub stars (10,437 vs 3,893). Stars measure visibility, not whether either tool fits your constraints.
- Are all-in-rag and agentic-rag-for-dummies open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to all-in-rag or agentic-rag-for-dummies?
- GraphCanon lists graph-backed alternatives at all-in-rag alternatives and agentic-rag-for-dummies alternatives (all-in-rag markdown twin, agentic-rag-for-dummies 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, all-in-rag or agentic-rag-for-dummies?
- all-in-rag: Active. agentic-rag-for-dummies: Active. 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 all-in-rag and agentic-rag-for-dummies?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: all-in-rag trust report; agentic-rag-for-dummies trust report.