Databricks releases Adaptive Instructed-Retriever for faster search
The model combines parallel and sequential retrieval to match third-party quality at double the speed, optimizing cost through online reinforcement learning.
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In short: Databricks raised $5B at a $190B valuation, acquired Row Zero, launched new AI models, and expanded internationally.
The model combines parallel and sequential retrieval to match third-party quality at double the speed, optimizing cost through online reinforcement learning.
Co-founder Reynold Xin delivers the opening keynote on agentic database paradigms while engineers present four technical papers on streaming architecture, query optimization, and view maintenance frameworks.
The architecture decouples compute and storage, enabling instant branching, point-in-time recovery, and scale-to-zero capabilities for AI workloads.
Funding led by Coatue, with $190B valuation and >80% YoY growth; Lakebase revenue run-rate exceeds $100M.
Venture capital (VC) firm SBVA has invested in U.S. data and artificial intelligence (AI) company Databricks. Databricks added its name as a new investor in...
On August 13, 2026, Databricks completed a $5 billion funding round at a $190 billion valuation. In the same announcement, they disclosed that their annualized...
Databricks is acquiring Row Zero, a five-year-old Microsoft Excel competitor that sells spreadsheet software that's designed for analyzing massive amounts of data. The deal could...
It's the first for the Genie platform as the company pushes into AI tooling for general work.
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