> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/ai-workbench/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/ai-workbench/_mcp/server.

> Provides information about the example projects for Retrieval Augmented

# Example Projects for Retrieval Augmented Generation (RAG)

These example projects demonstrate different approaches to implementing Retrieval Augmented Generation (RAG) using NVIDIA AI Workbench. The projects showcase:

- Agentic RAG implementations for autonomous information retrieval and generation.
- Hybrid RAG systems combining multiple retrieval and generation strategies.
- Multimodal RAG capabilities for handling text, images, and other data types.
- Integration with NVIDIA NIM for scalable deployment.

These examples are ideal for developers and organizations looking to:

- Build more accurate and context-aware AI applications.
- Implement advanced information retrieval systems.
- Create multimodal AI assistants.
- Deploy scalable RAG solutions in production.

| **Example Project on GitHub** | **Description** | **Clone and Open** | **Support Forum** |
|---|---|---|---|
| [Agentic RAG](https://github.com/NVIDIA/workbench-example-agentic-rag) | An example project for Agentic Retrieval Augmented Generation (RAG) | [Open in AI Workbench](https://ngc.nvidia.com/open-ai-workbench/aHR0cHM6Ly9naXRodWIuY29tL05WSURJQS93b3JrYmVuY2gtZXhhbXBsZS1hZ2VudGljLXJhZw==) | [Support forum link](https://forums.developer.nvidia.com/t/support-workbench-example-project-agentic-rag/303414) |
| [Hybrid RAG](https://github.com/NVIDIA/workbench-example-hybrid-rag) | An example project for Retrieval Augmented Generation (RAG) | [Open in AI Workbench](https://ngc.nvidia.com/open-ai-workbench/aHR0cHM6Ly9naXRodWIuY29tL252aWRpYS93b3JrYmVuY2gtZXhhbXBsZS1oeWJyaWQtcmFn) | [Support forum link](https://forums.developer.nvidia.com/t/support-workbench-example-project-hybrid-rag/288565) |
| [Multimodal Virtual Assistant](https://github.com/NVIDIA/workbench-example-multimodal-virtual-assistant) | An example project to build a multimodal virtual assistant | [Open in AI Workbench](https://ngc.nvidia.com/open-ai-workbench/aHR0cHM6Ly9naXRodWIuY29tL05WSURJQS93b3JrYmVuY2gtZXhhbXBsZS1tdWx0aW1vZGFsLXZpcnR1YWwtYXNzaXN0YW50) | [Support forum link](https://forums.developer.nvidia.com/t/support-workbench-example-project-multimodal-virtual-assistant/309400) |
| [NIM Anywhere](https://github.com/NVIDIA/nim-anywhere) | An example project to accelerate your AI deployment with NVIDIA NIM | [Open in AI Workbench](https://ngc.nvidia.com/open-ai-workbench/aHR0cHM6Ly9naXRodWIuY29tL05WSURJQS9uaW0tYW55d2hlcmU=) | [Support forum link](https://forums.developer.nvidia.com/t/support-workbench-example-project-nim-anywhere/301001) |

## Related Topics

- [Example Projects for Agentic AI](/ai-workbench/quickstart/example-agents)
- [Example Projects for Fine-Tuning Models](/ai-workbench/quickstart/example-fine-tuning)
- [Example Projects for Data Science Workflows](/ai-workbench/quickstart/example-data-science)
- [Example Projects for Blueprint Workflows](/ai-workbench/quickstart/example-blueprints)
- [Example Projects using NIM Deployments](/ai-workbench/quickstart/example-nim)

**Learn the Concepts**

- [Add a Brev Instance](/ai-workbench/how-to/locations/add-brev)
- [How to Work with AI Workbench Projects](/ai-workbench/how-to/projects/overview)
- [Integrations and Credentials](/ai-workbench/reference/faq#integrations-and-credentials)
- [Applications](/ai-workbench/concepts/application-concept)