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 ...

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

Today, Databricks (known for its data analytics software) is debuting a new architecture for retrieval-augmented AI agents ...
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 ...

Six data shifts that will shape enterprise AI in 2026

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...
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 ...
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 ...