Databricks' Adaptive Instructed-Retriever lets AI agents decide how many times to search per question, matching frontier ...

As customers try to “get artificial intelligence right,” the need to rationalize siloed data becomes increasingly important. Data practitioners could put all their data eggs into a single platform ...

Databricks' KARL agent matches Claude Opus 4.6 accuracy with 33% lower cost and 47% less latency by learning to stop ...

In one test described by Databricks, Adaptive Instructed-Retriever verified that a company did not explicitly list ...

With customers asking increasingly complex questions of AI agents, Databricks is launching a model aimed at improving the accuracy of data retrieval systems.

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Snowflake and Databricks are surely similar companies. While each positions itself a bit differently, both provide data storage, processing and governance in a cloud context. Both are holding customer ...

Databricks recently reached a valuation exceeding $100 billion following its latest funding round, joining the elite group of most-valuable private companies like SpaceX, ByteDance and OpenAI.

Databricks continued its acquisition spree, purchasing BladeBridge to add AI-powered data migration capabilities. Financial terms of the transaction, unveiled on Feb. 4, were not disclosed. Once a ...

Agent Bricks uses technology developed by MosaicML’s research division to optimize the agent development process and help control the cost of running agents. Databricks has released a beta version of ...

Databricks on Thursday announced a new round of funding that values the company at $188 billion. The round was led by Coatue. Databricks didn’t disclose exactly how much it raised; it said the money ...