Comparison
agentic-rag-for-dummies vs awesome-llm-apps
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 awesome-llm-apps if awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
Markdown twin · agentic-rag-for-dummies alternatives · awesome-llm-apps alternatives
GraphCanon updated Sep 20, 2026
9views this month
Trust & integrity
| Signal | agentic-rag-for-dummies | awesome-llm-apps |
|---|---|---|
| Maintenance | Active (20d since push) As of Sep 20, 2026 · github_public_v1 | Very active (4d since push) As of Sep 7, 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 7, 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
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
Stars
- agentic-rag-for-dummies
- 4.2k
- awesome-llm-apps
- 136k
Forks
- agentic-rag-for-dummies
- 552
- awesome-llm-apps
- 20k
Open issues
- agentic-rag-for-dummies
- 0
- awesome-llm-apps
- 10
Language
- agentic-rag-for-dummies
- Jupyter Notebook
- awesome-llm-apps
- Python
Adopt for
- agentic-rag-for-dummies
- Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models.
- awesome-llm-apps
- awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
Persona
- agentic-rag-for-dummies
- -
- awesome-llm-apps
- -
Runtime
- agentic-rag-for-dummies
- -
- awesome-llm-apps
- -
License
- agentic-rag-for-dummies
- MIT
- awesome-llm-apps
- The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license.
Last pushed
- agentic-rag-for-dummies
- Aug 30, 2026
- awesome-llm-apps
- Sep 2, 2026
Categories
- agentic-rag-for-dummies
- AI Agents, Data & Retrieval
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- agentic-rag-for-dummies
- Active (82%)
- awesome-llm-apps
- Very active (96%)
Days since push
- agentic-rag-for-dummies
- 20d
- awesome-llm-apps
- 4d
Open issues (now)
- agentic-rag-for-dummies
- 0
- awesome-llm-apps
- 10
Stars delta
- agentic-rag-for-dummies
- +295 (30d)
- awesome-llm-apps
- +5.2k (30d)
Open issues delta
- agentic-rag-for-dummies
- 0 (30d)
- awesome-llm-apps
- -3 (30d)
OSV dependency advisories
- agentic-rag-for-dummies
- Published findings
- awesome-llm-apps
- No lockfile (source not queried)
Full report
- agentic-rag-for-dummies
- Trust report
- awesome-llm-apps
- Trust report
Shared compatibility
- Python · agentic-rag-for-dummies: Python runtime · awesome-llm-apps: Python runtime
Choose agentic-rag-for-dummies if…
- agentic-rag-for-dummies is primarily Jupyter Notebook; awesome-llm-apps is Python.
- License: agentic-rag-for-dummies is MIT, awesome-llm-apps is Apache-2.0.
- Tags unique to agentic-rag-for-dummies: agent, agentic-ai, bm25, gradio.
- 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 awesome-llm-apps if…
- awesome-llm-apps is primarily Python; agentic-rag-for-dummies is Jupyter Notebook.
- License: awesome-llm-apps is Apache-2.0, agentic-rag-for-dummies is MIT.
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: agents, applications, customizable, deployable.
- When you need quick implementations of various real-world use cases for AI Agents and RAG.
When NOT to use awesome-llm-apps
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch.
- When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
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 (Shubhamsaboo/awesome-llm-apps) · observed Sep 20, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Sep 20, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Sep 2, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentic-rag-for-dummies 4.2k · awesome-llm-apps 136k (synced Sep 20, 2026).
Common questions
- What is the difference between agentic-rag-for-dummies and awesome-llm-apps?
- agentic-rag-for-dummies: A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents. awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentic-rag-for-dummies over awesome-llm-apps?
- Choose agentic-rag-for-dummies over awesome-llm-apps when agentic-rag-for-dummies is primarily Jupyter Notebook; awesome-llm-apps is Python; License: agentic-rag-for-dummies is MIT, awesome-llm-apps is Apache-2.0; Tags unique to agentic-rag-for-dummies: agent, agentic-ai, bm25, gradio; When aiming to quickly develop a retrieval-augmented generation agent, thanks to its streamlined setup with LangGraph.
- When should I choose awesome-llm-apps over agentic-rag-for-dummies?
- Choose awesome-llm-apps over agentic-rag-for-dummies when awesome-llm-apps is primarily Python; agentic-rag-for-dummies is Jupyter Notebook; License: awesome-llm-apps is Apache-2.0, agentic-rag-for-dummies is MIT; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- 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 awesome-llm-apps?
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
- Is agentic-rag-for-dummies or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (136,444 vs 4,188). Stars measure visibility, not whether either tool fits your constraints.
- Are agentic-rag-for-dummies and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (agentic-rag-for-dummies: MIT, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to agentic-rag-for-dummies or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at agentic-rag-for-dummies alternatives and awesome-llm-apps alternatives (agentic-rag-for-dummies markdown twin, awesome-llm-apps 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 awesome-llm-apps?
- agentic-rag-for-dummies: Active. awesome-llm-apps: Very 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 agentic-rag-for-dummies and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentic-rag-for-dummies trust report; awesome-llm-apps trust report.