AISiliconANGLEabout 19 hours ago
Databricks adaptive search speeds agent retrieval
1 min read
Databricks expanded its Adaptive Instructed-Retriever model to speed multi-round AI agent searches. The model responds twice as fast as Claude Sonnet 5, GPT-5.6 Luna, and DeepSeek V4-Flash while matching retrieval quality. It dynamically decides how many search steps each request needs, reducing latency and cost.
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