Databricks built a RAG agent it says can handle every kind of enterprise search

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

Databricks Unveils Lakeflow Designer for Data Analysts to Build Reliable Pipelines Without ...

SAN FRANCISCO, June 11, 2025 /CNW/ --Data + AI Summit — Databricks, the Data and AI company, today announced the upcoming Preview of Lakeflow Designer. This new no-code ETL capability lets ...
WinBuzzer

Databricks KARL Agent Tackles All Enterprise Search Types via RL

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.
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Databricks launches no-code Lakeflow Designer for building data pipelines

Databricks announced on the 13th that it plans to unveil a demonstration version of its new no-code ETL (Extract, Transform, Load) feature, "Lakeflow Designer," which allows non-technical users to ...
Security Boulevard

Building a RAG system on Databricks with your unstructured data using Tonic Textual

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

Databricks streaming data ingestion service is now available

Databricks Inc. today announced the general availability of Zerobus Ingest, a new serverless service within its Lakeflow Connect suite that simplifies and accelerates real-time data ingestion into the ...
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株式会社アゼスト、Databricksとパートナー契約を締結。Databricks DATA ...

株式会社アゼスト（本社：東京都千代田区、代表取締役：小森 敬介）は、データとAIの企業であるDatabricks（データブリックス）社と、このたびパートナー契約を締結しました。 アゼストはこれまでも、データサイエンスとAI技術を強みとしてデータ基盤構築 ...