Home/Compare/agentic-rag-for-dummies vs awesome-llm-apps

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

agentic-rag-for-dummies logo

agentic-rag-for-dummies

GiovanniPasq/agentic-rag-for-dummies

4.2kpushed Aug 30, 2026
vs
awesome-llm-apps logo

awesome-llm-apps

Shubhamsaboo/awesome-llm-apps

136kpushed Sep 2, 2026

Trust & integrity

Signalagentic-rag-for-dummiesawesome-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 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.

Was this helpful?

Anonymous feedback helps us improve pages and translations.