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Databricks adds adaptive search model, SiliconANGLE reports

The model is intended to help agents retrieve information faster, SiliconANGLE says.

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2 Sources, 23d ago, first seen 23d ago

TLDR

SiliconANGLE reports that Databricks has added an adaptive search model aimed at speeding up agent retrieval.

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346

2 Sources, first seen 23d ago

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Combined views

346

2 Sources, first seen 23d ago

2 likes

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2 Sources

@SiliconANGLEDatabricks adds adaptive search model to speed agent retrieval https://ift.tt/9Bnwj1C23d
@TechstrongaiDatabricks has upgraded its retrieval technology with Adaptive Instructed-Retriever, letting developers set a ceiling on sequential search steps while the model decides when a harder question actually warrants another round. The system uses online reinforcement learning to produce checkpoints tuned for speed or retrieval quality, and Databricks claims it completed requests in 5.8 seconds while matching or exceeding GPT-5.6 Luna, Claude Sonnet 5, and DeepSeek-V4-Flash, though the results have not been independently verified. Read more about how adaptive retrieval could affect agent search costs: https://buff.ly/ELe7A8v #Databricks #AI #RAG #AIAgents22d
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    2 Sources

    @SiliconANGLEDatabricks adds adaptive search model to speed agent retrieval https://ift.tt/9Bnwj1C23d
    @TechstrongaiDatabricks has upgraded its retrieval technology with Adaptive Instructed-Retriever, letting developers set a ceiling on sequential search steps while the model decides when a harder question actually warrants another round. The system uses online reinforcement learning to produce checkpoints tuned for speed or retrieval quality, and Databricks claims it completed requests in 5.8 seconds while matching or exceeding GPT-5.6 Luna, Claude Sonnet 5, and DeepSeek-V4-Flash, though the results have not been independently verified. Read more about how adaptive retrieval could affect agent search costs: https://buff.ly/ELe7A8v #Databricks #AI #RAG #AIAgents22d
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