Comparison
agentic-rag-for-dummies vs langgraph
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 langgraph if langGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents, offering durable execution, human-in-the-loop oversight, and comprehensive memory management.
Markdown twin · agentic-rag-for-dummies alternatives · langgraph alternatives
GraphCanon updated Sep 20, 2026
12views this month
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Trust & integrity
| Signal | agentic-rag-for-dummies | langgraph |
|---|---|---|
| Maintenance | Active (20d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 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
- langgraph
- Low-level orchestration framework for building stateful agents
Stars
- agentic-rag-for-dummies
- 4.2k
- langgraph
- 42k
Forks
- agentic-rag-for-dummies
- 552
- langgraph
- 7.1k
Open issues
- agentic-rag-for-dummies
- 0
- langgraph
- 794
Language
- agentic-rag-for-dummies
- Jupyter Notebook
- langgraph
- Python
Adopt for
- agentic-rag-for-dummies
- Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models.
- langgraph
- LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents, offering durable execution, human-in-the-loop oversight, and comprehensive memory management.
Persona
- agentic-rag-for-dummies
- -
- langgraph
- -
Runtime
- agentic-rag-for-dummies
- -
- langgraph
- -
License
- agentic-rag-for-dummies
- MIT
- langgraph
- MIT
Last pushed
- agentic-rag-for-dummies
- Aug 30, 2026
- langgraph
- Sep 18, 2026
Categories
- agentic-rag-for-dummies
- AI Agents, Data & Retrieval
- langgraph
- AI Agents
Trust and health
Maintenance
- agentic-rag-for-dummies
- Active (82%)
- langgraph
- Very active (96%)
Days since push
- agentic-rag-for-dummies
- 20d
- langgraph
- 0d
Open issues (now)
- agentic-rag-for-dummies
- 0
- langgraph
- 794
Stars delta
- agentic-rag-for-dummies
- +295 (30d)
- langgraph
- +3.5k (30d)
Open issues delta
- agentic-rag-for-dummies
- 0 (30d)
- langgraph
- +147 (30d)
Owner type
- agentic-rag-for-dummies
- User
- langgraph
- Organization
OSV dependency advisories
- agentic-rag-for-dummies
- Published findings
- langgraph
- No lockfile (source not queried)
Full report
- agentic-rag-for-dummies
- Trust report
- langgraph
- Trust report
Shared compatibility
- Python · agentic-rag-for-dummies: Python runtime · langgraph: Python runtime
Choose agentic-rag-for-dummies if…
- agentic-rag-for-dummies is primarily Jupyter Notebook; langgraph is Python.
- Tags unique to agentic-rag-for-dummies: agent, agentic-ai, bm25, gradio.
- Also covers Data & Retrieval.
- 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 langgraph if…
- langgraph is primarily Python; agentic-rag-for-dummies is Jupyter Notebook.
- Tags unique to langgraph: agents, ai-agents, framework, langgraph.
- When you need to build agents that can persist through failures and resume from where they left off, ensuring durable execution.
When NOT to use langgraph
- If you are looking for a higher-level package that simplifies the process of building agents with planning and subagent capabilities, consider Deep Agents instead.
- For projects that do not require long-running, stateful workflows, LangGraph's features may be overkill and a simpler framework might be more appropriate.
- If your project is primarily focused on JavaScript or TypeScript, LangGraph.js might be a better fit, as LangGraph is primarily designed for Python environments.
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 (langchain-ai/langgraph) · observed Sep 20, 2026
- GitHub forks (langchain-ai/langgraph) · observed Sep 20, 2026
- Last push (langchain-ai/langgraph) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: agentic-rag-for-dummies 4.2k · langgraph 42k (synced Sep 20, 2026).
Common questions
- What is the difference between agentic-rag-for-dummies and langgraph?
- agentic-rag-for-dummies: A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents. langgraph: Low-level orchestration framework for building stateful agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentic-rag-for-dummies over langgraph?
- Choose agentic-rag-for-dummies over langgraph when agentic-rag-for-dummies is primarily Jupyter Notebook; langgraph is Python; Tags unique to agentic-rag-for-dummies: agent, agentic-ai, bm25, gradio; Also covers Data & Retrieval; When aiming to quickly develop a retrieval-augmented generation agent, thanks to its streamlined setup with LangGraph.
- When should I choose langgraph over agentic-rag-for-dummies?
- Choose langgraph over agentic-rag-for-dummies when langgraph is primarily Python; agentic-rag-for-dummies is Jupyter Notebook; Tags unique to langgraph: agents, ai-agents, framework, langgraph; When you need to build agents that can persist through failures and resume from where they left off, ensuring durable execution.
- 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 langgraph?
- If you are looking for a higher-level package that simplifies the process of building agents with planning and subagent capabilities, consider Deep Agents instead. For projects that do not require long-running, stateful workflows, LangGraph's features may be overkill and a simpler framework might be more appropriate. If your project is primarily focused on JavaScript or TypeScript, LangGraph.js might be a better fit, as LangGraph is primarily designed for Python environments.
- Is agentic-rag-for-dummies or langgraph more popular on GitHub?
- langgraph has more GitHub stars (41,866 vs 4,188). Stars measure visibility, not whether either tool fits your constraints.
- Are agentic-rag-for-dummies and langgraph open source?
- Yes - both are open-source projects on GitHub (agentic-rag-for-dummies: MIT, langgraph: MIT).
- Where can I find alternatives to agentic-rag-for-dummies or langgraph?
- GraphCanon lists graph-backed alternatives at agentic-rag-for-dummies alternatives and langgraph alternatives (agentic-rag-for-dummies markdown twin, langgraph 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 langgraph?
- agentic-rag-for-dummies: Active. langgraph: 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 langgraph?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentic-rag-for-dummies trust report; langgraph trust report.