---
title: "agentic-rag-for-dummies vs langgraph4j"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/giovannipasq-agentic-rag-for-dummies-vs-langgraph4j-langgraph4j"
tools: ["giovannipasq-agentic-rag-for-dummies", "langgraph4j-langgraph4j"]
---

# agentic-rag-for-dummies vs langgraph4j

*GraphCanon updated Sep 20, 2026*

## 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 langgraph4j if langGraph4j is a Java library for developing AI-agentic architectures that integrates seamlessly with Langchain4j and Spring AI.

[agentic-rag-for-dummies](https://github.com/GiovanniPasq/agentic-rag-for-dummies) reports 4.2k GitHub stars, 552 forks, and 0 open issues, last pushed Aug 30, 2026. [langgraph4j](https://langgraph4j.github.io/langgraph4j/) has 2.0k stars, 280 forks, and 25 open issues, last pushed Sep 15, 2026. Figures are from public GitHub metadata via [agentic-rag-for-dummies's repository](https://github.com/GiovanniPasq/agentic-rag-for-dummies) and [langgraph4j's repository](https://github.com/langgraph4j/langgraph4j).

| | [agentic-rag-for-dummies](/tools/giovannipasq-agentic-rag-for-dummies.md) | [langgraph4j](/tools/langgraph4j-langgraph4j.md) |
| --- | --- | --- |
| Tagline | A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents | A library for developing AI Agentic Architectures in Java |
| Stars | 4,188 | 2,006 |
| Forks | 552 | 280 |
| Open issues | 0 | 25 |
| Language | Jupyter Notebook | Java |
| Adopt for | Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models. | LangGraph4j is a Java library for developing AI-agentic architectures that integrates seamlessly with Langchain4j and Spring AI. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT License |
| Categories | AI Agents, Data & Retrieval | AI Agents |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [agentic-rag-for-dummies](/tools/giovannipasq-agentic-rag-for-dummies.md) | [langgraph4j](/tools/langgraph4j-langgraph4j.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Very active (96%) |
| Days since push | 20d | 1d |
| Open issues (now) | 0 | 25 |
| Stars delta | +295 (30d) | +98 (30d) |
| Open issues delta | 0 (30d) | +1 (30d) |
| Owner type | User | Organization |
| Full report | [trust report](/tools/giovannipasq-agentic-rag-for-dummies/trust.md) | [trust report](/tools/langgraph4j-langgraph4j/trust.md) |

## Decision facts: agentic-rag-for-dummies

- **Adopt for:** Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models.

## Decision facts: langgraph4j

- **Pricing:** freemium - Available at no cost; commercial support and enterprise options may incur additional charges.
- **Requirements:** Min 1 GB RAM
- **Adopt for:** LangGraph4j is a Java library for developing AI-agentic architectures that integrates seamlessly with Langchain4j and Spring AI.
- **License detail:** MIT License

## Choose when

### Choose agentic-rag-for-dummies if…

- agentic-rag-for-dummies is primarily Jupyter Notebook; langgraph4j is Java.
- 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.

### Choose langgraph4j if…

- langgraph4j is primarily Java; agentic-rag-for-dummies is Jupyter Notebook.
- Pricing: Available at no cost; commercial support and enterprise options may incur additional charges..
- Requirements: Min 1 GB RAM.
- Tags unique to langgraph4j: agents, ai, langchain4j, spring-ai.
- When you are building an application in the Java ecosystem that requires integration with both Langchain4j and Spring AI.

## 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.

## When NOT to use langgraph4j

- Avoid using it if your project strictly limits external dependency versions and necessitates an older version of Java (prior to 17), as LangGraph4j demands at least Java 17.
- If you require the absolute latest features before official release, direct snapshot use might pose instability risks that could disrupt development cycles or production environments.

## Common questions

### What is the difference between agentic-rag-for-dummies and langgraph4j?

agentic-rag-for-dummies: A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents. langgraph4j: A library for developing AI Agentic Architectures in Java. See the comparison table for live GitHub stats and shared categories.

### When should I choose agentic-rag-for-dummies over langgraph4j?

Choose agentic-rag-for-dummies over langgraph4j when agentic-rag-for-dummies is primarily Jupyter Notebook; langgraph4j is Java; 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 langgraph4j over agentic-rag-for-dummies?

Choose langgraph4j over agentic-rag-for-dummies when langgraph4j is primarily Java; agentic-rag-for-dummies is Jupyter Notebook; Pricing: Available at no cost; commercial support and enterprise options may incur additional charges.; Requirements: Min 1 GB RAM; Tags unique to langgraph4j: agents, ai, langchain4j, spring-ai; When you are building an application in the Java ecosystem that requires integration with both Langchain4j and Spring AI.

### 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 langgraph4j?

Avoid using it if your project strictly limits external dependency versions and necessitates an older version of Java (prior to 17), as LangGraph4j demands at least Java 17. If you require the absolute latest features before official release, direct snapshot use might pose instability risks that could disrupt development cycles or production environments.

### Is agentic-rag-for-dummies or langgraph4j more popular on GitHub?

agentic-rag-for-dummies has more GitHub stars (4,188 vs 2,006). Stars measure visibility, not whether either tool fits your constraints.

### Are agentic-rag-for-dummies and langgraph4j open source?

Yes - both are open-source projects on GitHub (agentic-rag-for-dummies: MIT, langgraph4j: MIT).

### Where can I find alternatives to agentic-rag-for-dummies or langgraph4j?

GraphCanon lists graph-backed alternatives at [agentic-rag-for-dummies alternatives](/tools/giovannipasq-agentic-rag-for-dummies/alternatives) and [langgraph4j alternatives](/tools/langgraph4j-langgraph4j/alternatives) ([agentic-rag-for-dummies markdown twin](/tools/giovannipasq-agentic-rag-for-dummies/alternatives.md), [langgraph4j markdown twin](/tools/langgraph4j-langgraph4j/alternatives.md)), 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](/compare/giovannipasq-agentic-rag-for-dummies-vs-langgraph4j-langgraph4j.md) 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 langgraph4j?

agentic-rag-for-dummies: Active. langgraph4j: 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 langgraph4j?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentic-rag-for-dummies trust report](/tools/giovannipasq-agentic-rag-for-dummies/trust); [langgraph4j trust report](/tools/langgraph4j-langgraph4j/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=giovannipasq-agentic-rag-for-dummies`](/api/graphcanon/graph?tool=giovannipasq-agentic-rag-for-dummies)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_