Retrieval-augmented generation (RAG) has emerged as the most efficient way to reduce hallucinations for Generative AI, ensuring more accurate responses.
This BARC webinar highlights key challenges, requirements, and design principles for implementing RAG workflows – including the tradeoffs and benefits of implementing a commercial RAG product rather than building a homegrown solution. See how early adopters are using RAG for use cases in customer service, document processing, and software development.