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 is raising the bar on enterprise gen AI developer tools. Today, at its annual data and AI conference, the Ali Ghodsi-led company announced several new enhancements for its Mosaic AI ...

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 ...

Data analytics company Databricks says its mission is to deliver data intelligence to every enterprise by allowing organizations to understand and use their unique data to build their own AI systems.

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 ...

Retrieval-Augmented Generation (RAG) is rapidly emerging as a robust framework for organizations seeking to harness the full power of generative AI with their business data. As enterprises seek to ...

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 introduced a public preview of GPU and LLM optimization support for Databricks Model Serving. This new feature enables the deployment of various AI models, including LLMs and Vision models, ...