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

# agentic-rag-for-dummies vs VideoRAG

*GraphCanon updated Aug 18, 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 VideoRAG if videoRAG is an AI desktop application that allows users to interact with video content through natural language queries, catering to enthusiasts and professionals alike.

[agentic-rag-for-dummies](https://github.com/GiovanniPasq/agentic-rag-for-dummies) reports 3.9k GitHub stars, 499 forks, and 0 open issues, last pushed Jul 25, 2026. [VideoRAG](https://arxiv.org/abs/2502.01549) has 3.3k stars, 467 forks, and 21 open issues, last pushed Mar 18, 2026. Figures are from public GitHub metadata via [agentic-rag-for-dummies's repository](https://github.com/GiovanniPasq/agentic-rag-for-dummies) and [VideoRAG's repository](https://github.com/HKUDS/VideoRAG).

| | [agentic-rag-for-dummies](/tools/giovannipasq-agentic-rag-for-dummies.md) | [VideoRAG](/tools/hkuds-videorag.md) |
| --- | --- | --- |
| Tagline | A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents | Chat with Your Videos |
| Stars | 3,893 | 3,288 |
| Forks | 499 | 467 |
| Open issues | 0 | 21 |
| Language | Jupyter Notebook | Python |
| Adopt for | Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models. | VideoRAG is an AI desktop application that allows users to interact with video content through natural language queries, catering to enthusiasts and professionals alike. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Other |
| Categories | AI Agents, Data & Retrieval | Data & Retrieval, Model Training |

## Trust and health

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

| | [agentic-rag-for-dummies](/tools/giovannipasq-agentic-rag-for-dummies.md) | [VideoRAG](/tools/hkuds-videorag.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Slowing (36%) |
| Days since push | 19d | 152d |
| Open issues (now) | 0 | 21 |
| Stars delta | Unknown | +104 (30d) |
| Open issues delta | Unknown | +1 (30d) |
| Owner type | User | Organization |
| Full report | [trust report](/tools/giovannipasq-agentic-rag-for-dummies/trust.md) | [trust report](/tools/hkuds-videorag/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: VideoRAG

- **Adopt for:** VideoRAG is an AI desktop application that allows users to interact with video content through natural language queries, catering to enthusiasts and professionals alike.

## Choose when

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

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

### Choose VideoRAG if…

- VideoRAG is primarily Python; agentic-rag-for-dummies is Jupyter Notebook.
- License: VideoRAG is Other, agentic-rag-for-dummies is MIT.
- Tags unique to VideoRAG: large language models, llms, long-video-understanding, multi-modal-llms.
- Also covers Model Training.
- You have long videos (up to hundreds of hours) and need precise analysis or summaries that require deep understanding of both audio and visual components.

## 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 VideoRAG

- You are working with short clips (under one minute) where traditional search methods might be quicker or more straightforward.
- If your needs are strictly for audio transcription or text-based retrieval, VideoRAG's features may offer more complexity than necessary.
- Your video content has strict privacy concerns, as using desktop applications can sometimes pose security and confidentiality risks depending on the user’s context.

## Common questions

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

agentic-rag-for-dummies: A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents. VideoRAG: Chat with Your Videos. See the comparison table for live GitHub stats and shared categories.

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

Choose agentic-rag-for-dummies over VideoRAG when agentic-rag-for-dummies is primarily Jupyter Notebook; VideoRAG is Python; License: agentic-rag-for-dummies is MIT, VideoRAG is Other; 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 choose VideoRAG over agentic-rag-for-dummies?

Choose VideoRAG over agentic-rag-for-dummies when VideoRAG is primarily Python; agentic-rag-for-dummies is Jupyter Notebook; License: VideoRAG is Other, agentic-rag-for-dummies is MIT; Tags unique to VideoRAG: large language models, llms, long-video-understanding, multi-modal-llms; Also covers Model Training; You have long videos (up to hundreds of hours) and need precise analysis or summaries that require deep understanding of both audio and visual components.

### 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 VideoRAG?

You are working with short clips (under one minute) where traditional search methods might be quicker or more straightforward. If your needs are strictly for audio transcription or text-based retrieval, VideoRAG's features may offer more complexity than necessary. Your video content has strict privacy concerns, as using desktop applications can sometimes pose security and confidentiality risks depending on the user’s context.

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

agentic-rag-for-dummies has more GitHub stars (3,893 vs 3,288). Stars measure visibility, not whether either tool fits your constraints.

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

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

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

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

agentic-rag-for-dummies: Active. VideoRAG: Slowing. 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 VideoRAG?

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); [VideoRAG trust report](/tools/hkuds-videorag/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/_