Date: January 23, 2025
Language: English
Retrieval-augmented generation, known by the endearing acronym of RAG, has emerged as the most efficient method of reducing hallucinations for Generative AI. RAG workflows retrieve trustworthy content and use it to augment user prompts so that GenAI language models can generate accurate answers. Most early adopters of GenAI implement RAG to enable use cases such as customer service, document processing and software coding.
This webinar explains why and how data and AI teams can use RAG to enable GenAI. It examines key challenges, requirements, use cases and design principles.