In the world of Retrieval Augmented Generation (RAG) for enterprise AI, embedding models are critical. It is the embedding model that essentially translates different types of content into vectors, ...

Integration enables enterprises to build specialized RAG agents that unlock value from petabytes of data while maintaining security within their Snowflake environment “Enterprises store massive ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now While vector databases are now increasingly ...

Snowflake is positioning itself as the “factory floor” for enterprise AI, embedding LLMs, RAG, and skills into its AI Data Cloud, where governance and data already live. The company’s Cortex suite ...

RAG is an approach that combines Gen AI LLMs with information retrieval techniques. Essentially, RAG allows LLMs to access external knowledge stored in databases, documents, and other information ...

Data security startup Immuta Inc. today announced new data governance and audit capabilities for retrieval-augmented generation-based generative artificial intelligence solutions across multiple cloud ...

Snowflake kicked off its annual user conference, Snowflake Summit 2025, on Tuesday. The cloud-based data-storage company launched a slew of new features. The biggest highlight was agentic AI solutions ...

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its new SQL functions powered by generative AI. Snowflake is adding generative ...