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

Working with a certified implementation partner is a risk mitigation strategy that ensures the Lakehouse is not only deployed but also optimized for scalability, security, and cost efficiency from day ...

Data analytics software maker Databricks said in a statement on Tuesday that it's acquiring Tabular, a startup that helps optimize data stored in the cloud. The gesture could help Databricks more ...

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 announced today two significant additions to its Unified Data Analytics Platform: Delta Engine, a high-performance query engine on cloud data lakes, and Redash, an open-source dashboarding ...

TEL AVIV, Israel--(BUSINESS WIRE)--Intel® Granulate™, Intel’s flagship software performance offering, today announced a new collaboration with Databricks to merge Intel Granulate’s autonomous, ...

Hello and welcome to Eye on AI. In this edition…Nvidia snags the team and tech from AI chip startup Groq…Meta buys Manus AI…AI gets better at improving AI…but we might not know enough about the brain ...

As data sources and volumes grow, and as a data-driven orientation is increasingly deemed to be a competitive necessity, the war between platform vendors to provide the primary repository for our data ...

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 ...