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

# Langchain-Chatchat vs agentic-rag-for-dummies

*GraphCanon updated Aug 14, 2026*

## Verdict

Pick Langchain-Chatchat if langchain-Chatchat is a local RAG and agent chatbot application built using Langchain, supporting multiple language models like ChatGLM, Qwen, and Llama; pick agentic-rag-for-dummies if agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models.

[Langchain-Chatchat](https://github.com/chatchat-space/Langchain-Chatchat) reports 39k GitHub stars, 6.3k forks, and 25 open issues, last pushed Nov 10, 2025. [agentic-rag-for-dummies](https://github.com/GiovanniPasq/agentic-rag-for-dummies) has 3.9k stars, 499 forks, and 0 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [Langchain-Chatchat's repository](https://github.com/chatchat-space/Langchain-Chatchat) and [agentic-rag-for-dummies's repository](https://github.com/GiovanniPasq/agentic-rag-for-dummies).

| | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | [agentic-rag-for-dummies](/tools/giovannipasq-agentic-rag-for-dummies.md) |
| --- | --- | --- |
| Tagline | Local knowledge-based RAG and Agent app using Langchain and various LLMs | A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents |
| Stars | 38,522 | 3,893 |
| Forks | 6,266 | 499 |
| Open issues | 25 | 0 |
| Language | Python | Jupyter Notebook |
| Adopt for | Langchain-Chatchat is a local RAG and agent chatbot application built using Langchain, supporting multiple language models like ChatGLM, Qwen, and Llama. | Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | MIT |
| Categories | AI Agents, Data & Retrieval, LLM Frameworks | AI Agents, Data & Retrieval |

## Trust and health

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

| | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | [agentic-rag-for-dummies](/tools/giovannipasq-agentic-rag-for-dummies.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Active (82%) |
| Days since push | 270d | 19d |
| Open issues (now) | 25 | 0 |
| Stars delta | +254 (30d) | Unknown |
| Open issues delta | +2 (30d) | Unknown |
| Owner type | Organization | User |
| Full report | [trust report](/tools/chatchat-space-langchain-chatchat/trust.md) | [trust report](/tools/giovannipasq-agentic-rag-for-dummies/trust.md) |

## Decision facts: Langchain-Chatchat

- **Requirements:** - Access to a suitable computational environment (potentially with GPU support) for running the various language models.; - Docker deployment expertise, especially when using docker-compose for setting up multiple dependent services.
- **Adopt for:** Langchain-Chatchat is a local RAG and agent chatbot application built using Langchain, supporting multiple language models like ChatGLM, Qwen, and Llama.
- **License detail:** Apache-2.0

## 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.

## Choose when

### Choose Langchain-Chatchat if…

- Langchain-Chatchat is primarily Python; agentic-rag-for-dummies is Jupyter Notebook.
- License: Langchain-Chatchat is Apache-2.0, agentic-rag-for-dummies is MIT.
- Requirements: - Access to a suitable computational environment (potentially with GPU support) for running the various language models.; - Docker deployment expertise, especially when using docker-compose for setting up multiple dependent services..
- Tags unique to Langchain-Chatchat: chatbot, chatglm, docker, llama.
- Also covers LLM Frameworks.
- - When you need a locally deployed chatbot that can provide contextual responses based on integrated knowledge bases.

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

- agentic-rag-for-dummies is primarily Jupyter Notebook; Langchain-Chatchat is Python.
- License: agentic-rag-for-dummies is MIT, Langchain-Chatchat 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 Langchain-Chatchat

- - If your application requires real-time updates from the internet, as Langchain-Chatchat operates within a closed system without dynamic web retrieval capabilities.
- - In scenarios where deploying through Docker and managing multiple services via docker-compose might be too complex or not feasible for your operational setup.

## 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.

## Common questions

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

Langchain-Chatchat: Local knowledge-based RAG and Agent app using Langchain and various LLMs. 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 Langchain-Chatchat over agentic-rag-for-dummies?

Choose Langchain-Chatchat over agentic-rag-for-dummies when Langchain-Chatchat is primarily Python; agentic-rag-for-dummies is Jupyter Notebook; License: Langchain-Chatchat is Apache-2.0, agentic-rag-for-dummies is MIT; Requirements: - Access to a suitable computational environment (potentially with GPU support) for running the various language models.; - Docker deployment expertise, especially when using docker-compose for setting up multiple dependent services.; Tags unique to Langchain-Chatchat: chatbot, chatglm, docker, llama; Also covers LLM Frameworks; - When you need a locally deployed chatbot that can provide contextual responses based on integrated knowledge bases.

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

Choose agentic-rag-for-dummies over Langchain-Chatchat when agentic-rag-for-dummies is primarily Jupyter Notebook; Langchain-Chatchat is Python; License: agentic-rag-for-dummies is MIT, Langchain-Chatchat 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 avoid Langchain-Chatchat?

- If your application requires real-time updates from the internet, as Langchain-Chatchat operates within a closed system without dynamic web retrieval capabilities. - In scenarios where deploying through Docker and managing multiple services via docker-compose might be too complex or not feasible for your operational setup.

### 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 Langchain-Chatchat or agentic-rag-for-dummies more popular on GitHub?

Langchain-Chatchat has more GitHub stars (38,522 vs 3,893). Stars measure visibility, not whether either tool fits your constraints.

### Are Langchain-Chatchat and agentic-rag-for-dummies open source?

Yes - both are open-source projects on GitHub (Langchain-Chatchat: Apache-2.0, agentic-rag-for-dummies: MIT).

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

GraphCanon lists graph-backed alternatives at [Langchain-Chatchat alternatives](/tools/chatchat-space-langchain-chatchat/alternatives) and [agentic-rag-for-dummies alternatives](/tools/giovannipasq-agentic-rag-for-dummies/alternatives) ([Langchain-Chatchat markdown twin](/tools/chatchat-space-langchain-chatchat/alternatives.md), [agentic-rag-for-dummies markdown twin](/tools/giovannipasq-agentic-rag-for-dummies/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/chatchat-space-langchain-chatchat-vs-giovannipasq-agentic-rag-for-dummies.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, Langchain-Chatchat or agentic-rag-for-dummies?

Langchain-Chatchat: Slowing. 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 Langchain-Chatchat and agentic-rag-for-dummies?

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

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=chatchat-space-langchain-chatchat`](/api/graphcanon/graph?tool=chatchat-space-langchain-chatchat)
- 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/_