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 3d
vs
Trust & integrity
| Signal | kotaemon | agentic-rag-for-dummies |
|---|---|---|
| Maintenance | Steady (34d since push) As of 3d · github_public_v1 | Active (19d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3d · 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
- 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
- 3.9k
Forks
- kotaemon
- 2.1k
- agentic-rag-for-dummies
- 499
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
- Jul 25, 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
- 19d
Open issues (now)
- kotaemon
- 241
- agentic-rag-for-dummies
- 0
Stars delta
- kotaemon
- +138 (30d)
- agentic-rag-for-dummies
- Unknown
Open issues delta
- kotaemon
- +4 (30d)
- agentic-rag-for-dummies
- Unknown
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 (Cinnamon/kotaemon) · observed Aug 18, 2026
- GitHub forks (Cinnamon/kotaemon) · observed Aug 18, 2026
- Last push (Cinnamon/kotaemon) · observed Jul 14, 2026
- License file (Apache-2.0) · 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: kotaemon 26k · agentic-rag-for-dummies 3.9k (synced Aug 18, 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
fullDocker 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
liteversion 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 3,893). 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.