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

PyTest Fixtures are a powerful way to manage test setup and teardown in Python. This library provides a set of fixtures to help you write integration tests for Databricks. These fixtures were ...

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

Beta: This SDK is supported for production use cases, but we do expect future releases to have some interface changes; see Interface stability. We are keen to hear feedback from you on these SDKs.

Databricks is having one of those years that most enterprise software companies would quietly envy. The data and AI platform says it has reached a $5.4bn annual revenue run rate, growing 65% year over ...

Databricks Inc. today announced that it has raised more than $7 billion in equity and debt financing to accelerate its growth efforts. The company first disclosed the investment late last year when it ...

Databricks just announced new financials, revealing more about the real productivity impact of AI agents. Of the databases on Databricks' platform, 80% are now being built by AI agents, not people.