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

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

Data 2026 outlook: The rise of semantic spheres of influence

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.