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

# ragbits vs agentic-rag-for-dummies

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick ragbits if ragbits simplifies the creation and deployment of Generative AI applications offering components from LLM frameworks to vector databases; pick agentic-rag-for-dummies if agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models.

[ragbits](https://ragbits.deepsense.ai) reports 1.7k GitHub stars, 143 forks, and 52 open issues, last pushed May 18, 2026. [agentic-rag-for-dummies](https://github.com/GiovanniPasq/agentic-rag-for-dummies) has 4.2k stars, 552 forks, and 0 open issues, last pushed Aug 30, 2026. Figures are from public GitHub metadata via [ragbits's repository](https://github.com/deepsense-ai/ragbits) and [agentic-rag-for-dummies's repository](https://github.com/GiovanniPasq/agentic-rag-for-dummies).

| | [ragbits](/tools/deepsense-ai-ragbits.md) | [agentic-rag-for-dummies](/tools/giovannipasq-agentic-rag-for-dummies.md) |
| --- | --- | --- |
| Tagline | Building blocks for rapid development of GenAI applications | A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents |
| Stars | 1,668 | 4,188 |
| Forks | 143 | 552 |
| Open issues | 52 | 0 |
| Language | Python | Jupyter Notebook |
| Adopt for | Ragbits simplifies the creation and deployment of Generative AI applications offering components from LLM frameworks to vector databases. | Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | Data & Retrieval, Evaluation & Observability, LLM Frameworks, Vector Databases | AI Agents, Data & Retrieval |

## Trust and health

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

| | [ragbits](/tools/deepsense-ai-ragbits.md) | [agentic-rag-for-dummies](/tools/giovannipasq-agentic-rag-for-dummies.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Active (82%) |
| Days since push | 115d | 20d |
| Open issues (now) | 52 | 0 |
| Stars delta | 0 (30d) | +295 (30d) |
| Open issues delta | +2 (30d) | 0 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/deepsense-ai-ragbits/trust.md) | [trust report](/tools/giovannipasq-agentic-rag-for-dummies/trust.md) |

## Decision facts: ragbits

- **Adopt for:** Ragbits simplifies the creation and deployment of Generative AI applications offering components from LLM frameworks to vector databases.

## 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 ragbits if…

- ragbits is primarily Python; agentic-rag-for-dummies is Jupyter Notebook.
- Tags unique to ragbits: agents, document-search, evaluation, llms.
- Also covers Evaluation & Observability, LLM Frameworks, Vector Databases.
- When requiring a rapid turnaround for GenAI app development, taking advantage of pre-built components such as agents and document-search.

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

- agentic-rag-for-dummies is primarily Jupyter Notebook; ragbits is Python.
- 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 ragbits

- If your project demands proprietary or highly customized solutions that diverge significantly from Ragbits' modular approach.
- When you prioritize a development ecosystem outside Python, as Ragbits is tightly embedded in the Python environment.

## 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 ragbits and agentic-rag-for-dummies?

ragbits: Building blocks for rapid development of GenAI applications. 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 ragbits over agentic-rag-for-dummies?

Choose ragbits over agentic-rag-for-dummies when ragbits is primarily Python; agentic-rag-for-dummies is Jupyter Notebook; Tags unique to ragbits: agents, document-search, evaluation, llms; Also covers Evaluation & Observability, LLM Frameworks, Vector Databases; When requiring a rapid turnaround for GenAI app development, taking advantage of pre-built components such as agents and document-search.

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

Choose agentic-rag-for-dummies over ragbits when agentic-rag-for-dummies is primarily Jupyter Notebook; ragbits is Python; 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 ragbits?

If your project demands proprietary or highly customized solutions that diverge significantly from Ragbits' modular approach. When you prioritize a development ecosystem outside Python, as Ragbits is tightly embedded in the Python environment.

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

agentic-rag-for-dummies has more GitHub stars (4,188 vs 1,668). Stars measure visibility, not whether either tool fits your constraints.

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

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

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

GraphCanon lists graph-backed alternatives at [ragbits alternatives](/tools/deepsense-ai-ragbits/alternatives) and [agentic-rag-for-dummies alternatives](/tools/giovannipasq-agentic-rag-for-dummies/alternatives) ([ragbits markdown twin](/tools/deepsense-ai-ragbits/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/deepsense-ai-ragbits-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, ragbits or agentic-rag-for-dummies?

ragbits: 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 ragbits and agentic-rag-for-dummies?

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

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=deepsense-ai-ragbits`](/api/graphcanon/graph?tool=deepsense-ai-ragbits)
- 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/_