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

Data is the new fuel. The potential for machine learning and deep learning practitioners to make a breakthrough and drive positive outcomes is unprecedented. But how to take advantage of the myriad of ...

The fields of machine learning and deep learning are on the brink of unprecedented breakthroughs across a variety of verticals. And according to a new report from Databricks, “data is the new fuel,” ...

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

For VisitBritain, data has always been part of the story. As the UK’s national tourism agency, it depends on accurate insight to help regions, small businesses, and policymakers make better decisions.

With the Hydrolix Spark Connector, Databricks users can use the Hydrolix streaming data lake to extract deeper insights faster and cheaper from their real-time and historical log data. According to a ...

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI deployments. At the beginning of the modern generative AI era, purpose-built ...

Agent Bricks uses technology developed by MosaicML’s research division to optimize the agent development process and help control the cost of running agents. Databricks has released a beta version of ...