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 unstructured content, sales figures alongside customer reviews or citation ...
Geeky Gadgets

Building an AI chat app using large language models and personal data

Anyone interested in learning more about building AI chat applications. Will be interested to know that IBM has created a fantastically quick and to the point introduction to using Retrieval Augmented ...
TechRepublic

Want to Build AI Agents? Anthropic and Databricks Can Help – For a Price

Want to Build AI Agents? Anthropic and Databricks Can Help – For a Price Your email has been sent The business prospect: making it easier for companies to build their own AI agents. The context: Even ...
InfoQ

Domain-Driven RAG: Building Accurate Enterprise Knowledge Systems through Distributed Ownership

Modular Retrieval Augmented Generation (RAG) applications enhance accuracy and relevancy by assigning ownership to dedicated domain experts. Metadata should be leveraged to intelligently route queries ...
dbta

Build a GenAI-Ready Enterprise with Informatica & Databricks

Join data management experts from Informatica and Databricks to discover how to get your data ready for artificial intelligence (AI) and scale your pilots to production with a trusted data foundation.
CIOL

Accenture, Databricks Expand Partnership to Help Enterprises Deploy AI Applications at Scale

Accenture and Databricks have expanded their partnership to help enterprises deploy artificial intelligence applications and AI agents using enterprise data. As part of the collaboration, the ...