Databricks adds adaptive search model to speed agent retrieval

Databricks Inc. today expanded its Adaptive Instructed-Retriever search model to speed up response times for AI agents requiring multiple rounds of retrieval, matching the retrieval quality of several leading third-party models. The model serves as a retrieval building block for Databricks' Genie Code, Genie One, and Genie Agents products.

Databricks adds adaptive search model to speed agent retrieval By Paul GillinSource: SiliconANGLE https://siliconangle.com Databricks Inc. today expanded its Adaptive Instructed-Retriever search model to speed up response times for requests from artificial intelligence /glossary/artificial-intelligence agents that require multiple rounds of retrieval. The company said the model is a retrieval building block for its Genie Code, Genie One and Genie Agents that matches the retrieval quality of several leading third-party and … The post Databricks adds adaptive search model to speed agent retrieval https://siliconangle.com/2026/09/09/databricks-adds-adaptive-search-model-to-speed-agent-retrieval/ appeared first on SiliconANGLE https://siliconangle.com . Get AI news in your inbox Daily digest of what matters in AI.