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Databricks unveils adaptive AI retrieval model to cut search costs and latency
Adaptive Instructed-Retriever dynamically decides when queries need additional search steps, aiming to improve answer quality without driving up enterprise AI costs.
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infoworld.com
Databricks unveils adaptive AI retrieval model to cut search costs and latency
Adaptive Instructed-Retriever dynamically decides when queries need additional search steps, aiming to improve answer quality without driving up enterprise AI costs.
- ·
databricks.com
Adaptive Instructed-Retriever: Frontier-Quality Search at 2x Lower Latency
Adaptive Instructed-Retriever combines the speed of parallel retrieval with the performance of sequential search while maintaining strict cost and latency guarantees.
