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	An example project for Agentic Retrieval Augmented Generation (RAG)	Open in AI Workbench	Support forum link
Hybrid RAG	An example project for Retrieval Augmented Generation (RAG)	Open in AI Workbench	Support forum link
Multimodal Virtual Assistant	An example project to build a multimodal virtual assistant	Open in AI Workbench	Support forum link
NIM Anywhere	An example project to accelerate your AI deployment with NVIDIA NIM	Open in AI Workbench	Support forum link

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