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 ...
InfoWorld

Databricks says its Instruction Retrieval offers better AI answers than RAG in the enterprise

Databricks says Instructed Retrieval outperforms RAG and could move AI pilots to production faster, but analysts warn it ...

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.
GitHub

End-to-End Databricks Data Engineering Project

Welcome to the End-to-End Databricks Data Engineering Project repository! This project showcases a modern, cloud-native data warehouse and analytics solution built on Databricks using PySpark and ...
Yahoo Finance

Databricks and Intel Collaborate to Optimize Apache Spark-Based Analytics for Intel(R) Architecture

SAN JOSE, CA--(Marketwired - Feb 20, 2015) - Strata and Hadoop World --Databricks, the company founded by the creators of the popular open-source Big Data processing engine Apache Spark with its ...
Computer Weekly

How Databricks is easing lakehouse adoption

Migrating on-premise databases and data platforms to a cloud-based data lakehouse can be challenging for organisations that run multiple data management products on different systems to serve ...