Retrieval-Augmented Generation (RAG) is an innovative technology that significantly enhances the capabilities of AI language models by integrating external information retrieval with generative processes.
Retrieval-Augmented Generation (RAG) is an innovative technology that significantly enhances the capabilities of AI language models by integrating external information retrieval with generative processes.
As organizations increase their investment in artificial intelligence (AI), the need to govern machine learning (ML) models effectively has become a strategic priority. Deploying a model into production is only the beginning.