Today Databricks announced new retrieval augmented generation (RAG) tooling for its Data Intelligence Platform to help customers build, deploy and maintain high-quality large language model (LLM) apps ...

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

Databricks unveiled a new portfolio aimed at helping users customize generative AI applications with their own data through retrieval-augmented generation. Retrieval-augmented generation (RAG) is an ...

With customers asking increasingly complex questions of AI agents, Databricks is launching a model aimed at improving the accuracy of data retrieval systems.

Genie Ontology aims to unify business definitions across systems, but analysts say data quality and governance will make or break adoption. First came vector databases, then RAG. Now, the next ...

Databricks Inc. today announced several enhancements to its Mosaic AI toolset for building and deploying artificial intelligence models that specifically target generative AI applications. The ...

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation ...

Databricks is getting ready to offer more support to enterprises building generative AI applications, with the addition of new Mosaic AI capabilities, it said Wednesday. First up, Mosaic AI Agent ...