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 ...
VentureBeat

Exclusive: Databricks launches new tools for building high-quality RAG apps

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Today Databricks announced new retrieval augmented generation (RAG) ...
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

The idea of the Instructed Retriever architecture is that it turns these implied conditions into explicit search parameters.
Forbes

AI Inferencing Is Growing In Importance—And RAG Is Fueling Its Rise

As the AI infrastructure market evolves, we’ve been hearing a lot more about AI inference—the last step in the AI technology infrastructure chain to deliver fine-tuned answers to the prompts given to ...
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 ...