Databricks' Instructed Retriever beats traditional RAG data retrieval by 70% — enterprise metadata was the missing link

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
Techzine Europe

RAG ‘2.0’: the Instructed Retriever links AI agents to the right data

The Instructed Retriever is set to replace RAG on a large scale. Databricks sees a 70 percent improvement with the ...
VentureBeat

Exclusive: Databricks launches new tools for building high-quality RAG apps

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Today Databricks announced new retrieval augmented generation (RAG) ...

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

The idea of the Instructed Retriever architecture is that it turns these implied conditions into explicit search parameters.
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 ...