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.
VentureBeat

Databricks' Instructed Retriever beats traditional RAG data retrieval by 70% — enterprise metadata was the missing link

A core element of any data retrieval operation is the use of a component known as a retriever. Its job is to retrieve the relevant content for a given query. In the AI era, retrievers have been used ...
CRN

Databricks’ New Offering Promises Speedier AI, Analytical Application Development

With the new Databricks Apps partners and customers can rapidly build and deploy native applications for the Databricks Data Intelligence Platform that tap into the system’s data and leverages its ...
CRN

If You Build Them: Databricks To Launch New Data Workflow, AI Agent Development Tools

Lakeflow Designer and Agent Bricks technology unveilings for building data pipeline workflows and AI agents, respectively, are on tap at Wednesday’s Databricks Data + Summit. With new technologies for ...
Forbes

Databricks Says AI Agents Now Build 80% Of Enterprise Databases

Forbes contributors publish independent expert analyses and insights. Victor Dey is an analyst and writer covering AI and emerging tech. This voice experience is generated by AI. Learn more. This ...