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

Review: Databricks Lakehouse Platform

Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your ...
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 ...

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 called Instructed Retriever that it says solves most of RAG’s shortcomings.
insideHPC

Databricks and Intel Collaborate to Optimize Apache Spark-Based Analytics for Intel® Architecture

Databricks, the company founded by the creators of the popular open-source Big Data processing engine Apache Spark with its flagship product, Databricks Cloud, today announced plans to collaborate ...