---
title: "rig vs agentic-rag-for-dummies"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/0xplaygrounds-rig-vs-giovannipasq-agentic-rag-for-dummies"
tools: ["0xplaygrounds-rig", "giovannipasq-agentic-rag-for-dummies"]
---

# rig vs agentic-rag-for-dummies

*GraphCanon updated Sep 30, 2026*

## Verdict

Pick rig if rig is a Rust library designed to create modular and scalable LLM applications with extensive support for agentic workflows, multi-turn streaming, full compatibility with GenAI conventions, and integration capabilities; pick agentic-rag-for-dummies if agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models.

[rig](https://rig.rs) reports 8.7k GitHub stars, 974 forks, and 102 open issues, last pushed Sep 19, 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 [rig's repository](https://github.com/0xPlaygrounds/rig) and [agentic-rag-for-dummies's repository](https://github.com/GiovanniPasq/agentic-rag-for-dummies).

| | [rig](/tools/0xplaygrounds-rig.md) | [agentic-rag-for-dummies](/tools/giovannipasq-agentic-rag-for-dummies.md) |
| --- | --- | --- |
| Tagline | Build modular and scalable LLM Applications in Rust | A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents |
| Stars | 8,679 | 4,188 |
| Forks | 974 | 552 |
| Open issues | 102 | 0 |
| Language | Rust | Jupyter Notebook |
| Adopt for | Rig is a Rust library designed to create modular and scalable LLM applications with extensive support for agentic workflows, multi-turn streaming, full compatibility with GenAI conventions, and integration capabilities. | Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | AI Agents, LLM Frameworks | AI Agents, Data & Retrieval |

## Trust and health

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

| | [rig](/tools/0xplaygrounds-rig.md) | [agentic-rag-for-dummies](/tools/giovannipasq-agentic-rag-for-dummies.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Active (82%) |
| Days since push | 0d | 20d |
| Open issues (now) | 102 | 0 |
| Stars delta | +351 (30d) | +295 (30d) |
| Open issues delta | -11 (30d) | 0 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/0xplaygrounds-rig/trust.md) | [trust report](/tools/giovannipasq-agentic-rag-for-dummies/trust.md) |

## Decision facts: rig

- **Hosting:** self hosted - Self-hosted as a Rust library.
- **Pricing:** freemium - Free to use under MIT license with potential premium support options.
- **Adopt for:** Rig is a Rust library designed to create modular and scalable LLM applications with extensive support for agentic workflows, multi-turn streaming, full compatibility with GenAI conventions, and integration capabilities.
- **License detail:** MIT

## 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 rig if…

- rig is primarily Rust; agentic-rag-for-dummies is Jupyter Notebook.
- Self-hosted as a Rust library.
- Pricing: Free to use under MIT license with potential premium support options..
- Tags unique to rig: ai, artificial-intelligence, automation, generative-ai.
- Also covers LLM Frameworks.
- You should use Rig when you need to work with LLM applications in Rust and want full WASM (core library) compatibility.

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

- agentic-rag-for-dummies is primarily Jupyter Notebook; rig is Rust.
- Tags unique to agentic-rag-for-dummies: agentic-ai, bm25, gradio, langchain.
- 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 rig

- Avoid using Rig if you are working on applications that do not require or support Rust as it is specifically built to facilitate LLM operations within a Rust environment.
- Rig may not be suitable if your project cannot handle potential breaking changes, which are expected due to its rapidly evolving nature and upcoming feature updates.

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

rig: Build modular and scalable LLM Applications in Rust. 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 rig over agentic-rag-for-dummies?

Choose rig over agentic-rag-for-dummies when rig is primarily Rust; agentic-rag-for-dummies is Jupyter Notebook; Self-hosted as a Rust library; Pricing: Free to use under MIT license with potential premium support options.; Tags unique to rig: ai, artificial-intelligence, automation, generative-ai; Also covers LLM Frameworks; You should use Rig when you need to work with LLM applications in Rust and want full WASM (core library) compatibility.

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

Choose agentic-rag-for-dummies over rig when agentic-rag-for-dummies is primarily Jupyter Notebook; rig is Rust; Tags unique to agentic-rag-for-dummies: agentic-ai, bm25, gradio, langchain; Also covers Data & Retrieval; When aiming to quickly develop a retrieval-augmented generation agent, thanks to its streamlined setup with LangGraph.

### When should I avoid rig?

Avoid using Rig if you are working on applications that do not require or support Rust as it is specifically built to facilitate LLM operations within a Rust environment. Rig may not be suitable if your project cannot handle potential breaking changes, which are expected due to its rapidly evolving nature and upcoming feature updates.

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

rig has more GitHub stars (8,679 vs 4,188). Stars measure visibility, not whether either tool fits your constraints.

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

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

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

GraphCanon lists graph-backed alternatives at [rig alternatives](/tools/0xplaygrounds-rig/alternatives) and [agentic-rag-for-dummies alternatives](/tools/giovannipasq-agentic-rag-for-dummies/alternatives) ([rig markdown twin](/tools/0xplaygrounds-rig/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/0xplaygrounds-rig-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, rig or agentic-rag-for-dummies?

rig: Very active. 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 rig and agentic-rag-for-dummies?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [rig trust report](/tools/0xplaygrounds-rig/trust); [agentic-rag-for-dummies trust report](/tools/giovannipasq-agentic-rag-for-dummies/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=0xplaygrounds-rig`](/api/graphcanon/graph?tool=0xplaygrounds-rig)
- 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/_