Home/Compare/kotaemon vs agentic-rag-for-dummies

Comparison

kotaemon vs agentic-rag-for-dummies

Verdict

Pick kotaemon if cinnamon's kotaemon is an open-source Retrieval-Augmented Generation-based chat tool that facilitates document interaction through a user-friendly chat interface; 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 · kotaemon alternatives · agentic-rag-for-dummies alternatives

GraphCanon updated Sep 20, 2026

17views this month

kotaemon logo

kotaemon

Cinnamon/kotaemon

★ 26kpushed Jul 14, 2026
vs
agentic-rag-for-dummies logo

agentic-rag-for-dummies

GiovanniPasq/agentic-rag-for-dummies

★ 4.2kpushed Aug 30, 2026

Trust & integrity

Signalkotaemonagentic-rag-for-dummies
Maintenance
Steady (34d since push)
As of Aug 18, 2026 · github_public_v1
Active (20d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Aug 18, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
Published findings
As of Jul 15, 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

kotaemon
An open-source RAG-based tool for chatting with your documents.
agentic-rag-for-dummies
A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents

Stars

kotaemon
26k
agentic-rag-for-dummies
4.2k

Forks

kotaemon
2.1k
agentic-rag-for-dummies
552

Open issues

kotaemon
241
agentic-rag-for-dummies
0

Language

kotaemon
Python
agentic-rag-for-dummies
Jupyter Notebook

Adopt for

kotaemon
Cinnamon's kotaemon is an open-source Retrieval-Augmented Generation-based chat tool that facilitates document interaction through a user-friendly chat interface.
agentic-rag-for-dummies
Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models.

Persona

kotaemon
-
agentic-rag-for-dummies
-

Runtime

kotaemon
-
agentic-rag-for-dummies
-

License

kotaemon
Apache-2.0
agentic-rag-for-dummies
MIT

Last pushed

kotaemon
Jul 14, 2026
agentic-rag-for-dummies
Aug 30, 2026

Categories

kotaemon
Data & Retrieval, Developer Tools
agentic-rag-for-dummies
AI Agents, Data & Retrieval

Trust and health

Maintenance

kotaemon
Steady (60%)
agentic-rag-for-dummies
Active (82%)

Days since push

kotaemon
34d
agentic-rag-for-dummies
20d

Open issues (now)

kotaemon
241
agentic-rag-for-dummies
0

Stars delta

kotaemon
+138 (30d)
agentic-rag-for-dummies
+295 (30d)

Open issues delta

kotaemon
+4 (30d)
agentic-rag-for-dummies
0 (30d)

Owner type

kotaemon
Organization
agentic-rag-for-dummies
User

OSV dependency advisories

kotaemon
No lockfile (source not queried)
agentic-rag-for-dummies
Published findings

Full report

kotaemon
Trust report
agentic-rag-for-dummies
Trust report

Shared compatibility

  • Python · kotaemon: Python runtime · agentic-rag-for-dummies: Python runtime

Choose kotaemon if…

  • kotaemon is primarily Python; agentic-rag-for-dummies is Jupyter Notebook.
  • License: kotaemon is Apache-2.0, agentic-rag-for-dummies is MIT.
  • Tags unique to kotaemon: chatbot, llms, open-source.
  • Also covers Developer Tools.
  • kotaemon ships Docker support for self-hosted deployment.
  • When you need to customize the file types you can process beyond PDFs, HTML, MHTML, and XLSX by opting for the `full` Docker version which includes additional packages from 'unstructured'.

When NOT to use kotaemon

  • If you only need to process a limited set of file types (PDF, HTML, MHTML, XLSX) and prefer the smaller Docker image size, as the `lite` version lacks additional package dependencies.
  • In environments with strict constraints on external dependencies where installing Docker or Python packages is not feasible.

Choose agentic-rag-for-dummies if…

  • agentic-rag-for-dummies is primarily Jupyter Notebook; kotaemon is Python.
  • License: agentic-rag-for-dummies is MIT, kotaemon is Apache-2.0.
  • 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 on cards: kotaemon 26k · agentic-rag-for-dummies 4.2k (synced Sep 20, 2026).

Common questions

What is the difference between kotaemon and agentic-rag-for-dummies?
kotaemon: An open-source RAG-based tool for chatting with your documents.. 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 kotaemon over agentic-rag-for-dummies?
Choose kotaemon over agentic-rag-for-dummies when kotaemon is primarily Python; agentic-rag-for-dummies is Jupyter Notebook; License: kotaemon is Apache-2.0, agentic-rag-for-dummies is MIT; Tags unique to kotaemon: chatbot, llms, open-source; Also covers Developer Tools; kotaemon ships Docker support for self-hosted deployment; When you need to customize the file types you can process beyond PDFs, HTML, MHTML, and XLSX by opting for the full Docker version which includes additional packages from 'unstructured'.
When should I choose agentic-rag-for-dummies over kotaemon?
Choose agentic-rag-for-dummies over kotaemon when agentic-rag-for-dummies is primarily Jupyter Notebook; kotaemon is Python; License: agentic-rag-for-dummies is MIT, kotaemon is Apache-2.0; 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 kotaemon?
If you only need to process a limited set of file types (PDF, HTML, MHTML, XLSX) and prefer the smaller Docker image size, as the lite version lacks additional package dependencies. In environments with strict constraints on external dependencies where installing Docker or Python packages is not feasible.
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 kotaemon or agentic-rag-for-dummies more popular on GitHub?
kotaemon has more GitHub stars (25,701 vs 4,188). Stars measure visibility, not whether either tool fits your constraints.
Are kotaemon and agentic-rag-for-dummies open source?
Yes - both are open-source projects on GitHub (kotaemon: Apache-2.0, agentic-rag-for-dummies: MIT).
Where can I find alternatives to kotaemon or agentic-rag-for-dummies?
GraphCanon lists graph-backed alternatives at kotaemon alternatives and agentic-rag-for-dummies alternatives (kotaemon 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, kotaemon or agentic-rag-for-dummies?
kotaemon: Steady. 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 kotaemon and agentic-rag-for-dummies?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: kotaemon trust report; agentic-rag-for-dummies trust report.

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