Retrieval-augmented generation enhances large language model prompts with relevant data for more practical, accurate responses.
Related resources
- GTC session: Make Retrieval Better: Fine-Tuning an Embedding Model for Domain-Specific RAG
- GTC session: Create, Store, Evaluate: Reimagine Data Model for Boosting Agentic RAG With NVIDIA NIM (Presented by Wipro Limited)
- GTC session: Earn your RAG-ing rights: Learn how to Power Smarter AI with Object Store and NVIDIA NIM Microservices (Presented by MinIO)
- Webinar: Building Intelligent AI Chatbots Using RAG
- Webinar: Achieve World-Class Text Retrieval Accuracy for Production-Ready Generative AI
- Webinar: Building Generative AI Applications for Enterprise Demands
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