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 data estate.
Yahoo News Singapore

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

Databricks CEO Ali Ghodsi speaking at Fortune Brainstorm AI San Francisco in December 2025. Databricks is debuting a new data retrieval system for AI agents that it says boosts their performance.
diginomica

Something for the weekend - why enterprise AI progress is not where the industry thinks! Time to chow down on some snake tail?

Databricks’ research into instructed retrieval and the OfficeQA benchmark suggests that the hardest problems in enterprise AI ...
InfoWorld

Databricks says its Instructed Retriever offers better AI answers than RAG in the enterprise

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.
SiliconANGLE

Immuta releases new multilayer data security architecture for RAG-based AI solutions

Data security startup Immuta Inc. today announced new data governance and audit capabilities for retrieval-augmented generation-based generative artificial intelligence solutions across multiple cloud ...
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 ...

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

Databricks is debuting a new system for retrieving the data that AI agents need to perform tasks accurately.