Databricks' Instructed Retriever beats traditional RAG data retrieval by 70% — enterprise ...

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
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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.