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 ...

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 ...
VentureBeat

Databricks: 'PDF parsing for agentic AI is still unsolved' — new tool replaces multi-service pipelines with single function

There is a lot of enterprise data trapped in PDF documents. To be sure, gen AI tools have been able to ingest and analyze PDFs, but accuracy, time and cost have been less than ideal. New technology ...
insideHPC

Four Real-Life Machine Learning Use Cases: A Databricks guide

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 ...
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 ...
insideHPC

New Guide Offers Databricks Unified Analytics Platform Machine Learning Use Cases

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,” ...
FedScoop

How AI is helping agencies turn fragmented data into real-time intelligence

Federal agencies are reaching a pivotal moment in how they access and leverage their data. After years of migrating data from on-premises data centers to cloud services and across hundreds of ...