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

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.

Data analytics company Databricks says its mission is to deliver data intelligence to every enterprise by allowing organizations to understand and use their unique data to build their own AI systems.

Databricks, a leader in unified analytics and founded by the original creators of Apache Spark™, and RStudio, today announced a new release of MLflow, an open source multi-cloud framework for the ...

Since its launch in 2013, Databricks has relied on its ecosystem of partners, such as Fivetran, Rudderstack, and dbt, to provide tools for data preparation and loading. But now, at its annual 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 ...

Collaborative platform delivers a streamlined way for organizations to standardize the full data and machine learning lifecycle at any scale with powerful AutoML capabilities and new ML Feature Store ...

Databricks edged out the "Big 3" cloud giants in the latest Gartner Magic Quadrant for Data Science and Machine Learning Platforms, which itself mirrors the industry shift to agentic AI, emphasizing ...