AI Search
AI Search is a semantic retrieval service provided by Databricks. It uses vector embeddings and approximate nearest-neighbor algorithms to map both products and queries into a unified semantic space, enabling intelligent product recall based on semantic similarity rather than exact keyword matching.
Timeline (last 90 days)
In the UP主's hands-on test, DeepSeek C.E Flash 1017 ran for 36 minutes to complete the task of explaining the measurement of Earth's circumference, consuming about 22 million tokens with a 99% cache hit rate.
Lakebase combined with AI Search forms a dual-engine architecture of 'real-time feature serving + semantic recall'.
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Lakebase combined with AI Search forms a dual-engine architecture of 'real-time feature serving + semantic recall'.
50%UnverifiedIn the UP主's hands-on test, DeepSeek C.E Flash 1017 ran for 36 minutes to complete the task of explaining the measurement of Earth's circumference, consuming about 22 million tokens with a 99% cache hit rate.
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