Enterprises need more than a powerful AI model; they require a secure, efficient, and compliant platform, not just disparate tools, to deploy generative AI at scale.
GenAI's potential is vast, but practicality lags. Yurts compares Retrieval Augmented Generation (RAG) to large context models for knowledge retrieval, favoring RAG's accuracy and scalability for enterprise use.
Comparing RAG systems and LCW models on Needle in a Haystack benchmarks, showing RAG's superior performance and scalability, highlighting the need for better benchmarks for LCW models.