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

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

See whether Databricks or Snowflake is the better ETL tool for you using our comprehensive guide to compare their features, pricing and more. With more and more solutions entering the enterprise ...

The business prospect: making it easier for companies to build their own AI agents. The context: Even the most successful AI companies are still working on how to generate revenue that justifies ...

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

Meanwhile, anyone can gain exposure to Databricks through the Fundrise Innovation Fund. The venture capital fund is open to all investors. It also has a very low investment minimum (about $10 per ...

Databricks has raised $5 billion at a $190 billion valuation as CEO Ali Ghodsi claims AGI already arrived, with the fortune now buried in context the models don't have.

Databricks is among the highly valued technology companies that are primed to go public in 2026.

Adaptive Instructed-Retriever dynamically decides when queries need additional search steps, aiming to improve answer quality without driving up enterprise AI costs.

When Andrew Ferguson launched Databricks' corporate venture arm three years ago, he wasn't expecting to be writing checks quite this fast. Databricks Ventures has backed 25 companies already. In 2023, ...

Aug 13 (Reuters) - Databricks said on Thursday it had raised $5 billion at a $190 billion valuation, as the data and ...