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 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 ...

Databricks on Wednesday unveiled new features designed to enable enterprise customers to securely and cost-effectively develop generative AI models and applications that deliver high-quality outputs.

In one test described by Databricks, Adaptive Instructed-Retriever verified that a company did not explicitly list ...

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 ...

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 ...

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 ...

Compare the best generative AI certifications for 2026, including exam costs, skills covered, experience requirements, and ...

Databricks says Instructed Retriever outperforms RAG and could move AI pilots to production faster, but analysts warn it could expose data, governance, and budget gaps that CIOs can’t ignore.