### Vectara's New Boomerang Model Takes Retrieval Augmented Generation to the Next Level via Grounded Generation Vectara has released a new embedding model, Boomerang, which improves traditional search capabilities and enhances the performance of its Grounded Generation (RAG) system. The model is trained to map concepts to vector representations, enabling semantic understanding and handling variations in human language. This leads to smarter systems that can handle more languages, tolerate typos and spelling variations, understand synonyms and phrases, and stay up-to-date on idioms and popular culture. Boomerang's accuracy improves search results, reduces hallucinations, and provides guidance to users on scoring individual results. It has been rolled out to all new and existing accounts, allowing users to take advantage of its enhanced capabilities with minimal configuration.