Databricks research shows multi-step agents consistently outperform single-turn RAG when answers span databases and documents

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...
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 ...
InfoWorld

Databricks expands Mosaic AI support for generative AI apps

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 ...
Hosted on MSN

Want AI agents to work better? Improve the way they retrieve information, Databricks says

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 ...
SiliconANGLE

Databricks broadly boosts support for AI model training

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 ...
dbta

Defining and Cultivating an ‘AI-Ready’ Enterprise with Informatica and Databricks

Rik Tamm-Daniels, GVP of ecosystems and technology, Informatica, and Manish Dalwadi, director of product management, Databricks, joined DBTA's webinar, Build a GenAI-Ready Enterprise with Informatica ...