ClearML, the leading open-source AI infrastructure platform, today announced that it has introduced native vector image search and an integrated vector database for RAG, empowering AI teams to explore, sample, and analyze their data with unprecedented ease. This new feature, integrated within ClearML’s Hyper-Datasets, enables AI builders to gain deeper data insights, streamline exploration, and securely accelerate the development of Retrieval-Augmented Generation (RAG) systems. Customers can effortlessly implement RAG in their GenAI applications and AI agents, streamlining workflows, improving data quality assessment, and accelerating the development of high-performance machine learning models and RAG-enabled LLMs.
Read more...
Read more...