
RESEARCH
Databricks optimizes multi-hop agent retrieval with adaptive search model
The new adaptive retrieval architecture reduces computational overhead for AI agents by dynamically adjusting search steps based on query complexity.

The new adaptive retrieval architecture reduces computational overhead for AI agents by dynamically adjusting search steps based on query complexity.
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