Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Today, Databricks announces Mosaic AI Agent Framework, which makes it easy for developers to quickly and safely build high-quality RAG applications, using foundation models and their enterprise data.

A core element of any data retrieval operation is the use of a component known as a retriever. Its job is to retrieve the relevant content for a given query. In the AI era, retrievers have been used ...

With the new Databricks Apps partners and customers can rapidly build and deploy native applications for the Databricks Data Intelligence Platform that tap into the system’s data and leverages its ...

Join data management experts from Informatica and Databricks to discover how to get your data ready for artificial intelligence (AI) and scale your pilots to production with a trusted data foundation.

Databricks, the Data and AI company, is introducing DBRX, a general-purpose large language model (LLM) that enables organizations around the world to cost-effectively build, train, and serve their own ...