Retrieval-augmented generation enhances large language model prompts with relevant data for more practical, accurate responses.
Explainer: What Is Retrieval-Augmented Generation?
Apr 05, 2024
Discuss (0)
Related resources
- GTC session: Techniques for Improving the Effectiveness of RAG Systems
- GTC session: Retrieval Augmented Generation: Overview of Design Systems, Data, and Customization
- GTC session: How to Leverage Retrieval-Augmented Generation (RAG) With Red Hat OpenShift AI and NVIDIA AI Enterprise (Presented by Red Hat, Inc.)
- Webinar: Building Intelligent AI Chatbots Using RAG
- Webinar: Fast-Track to Generative AI With NVIDIA
- Webinar: Building Generative AI Applications for Enterprise Demands
About the Authors
