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Intro
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Speaker bio
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Zilliz: Who we are
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Unlock the treasure of unstructured data
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The flow-based Al applications
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The unstructured data service (UDS) for Al
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Vectors are different
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Milvus: The big picture
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The ANN benchmark
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Boost ANN search performance
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Data management: before 0.11.0, IVF
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Data management: New in 0.11.0, IVF Flat
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Data management: New in 0.11.0, IVF SQ, IVF PQ
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Our journey
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Current progress
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Intelligent writing assistant
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Image search for company trademark
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Pharmaceutical molecule analysis
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Welcome to join the Milvus forum
Description:
Explore techniques for accelerating Approximate Nearest Neighbor Search (ANNS) on large-scale datasets in this 37-minute conference talk by Jun Gu from Zilliz. Learn about Milvus, an open-source vector database, and its role in unlocking the potential of unstructured data for AI applications. Discover the evolution of data management in Milvus, including improvements in IVF, IVF Flat, IVF SQ, and IVF PQ. Gain insights into real-world applications such as intelligent writing assistants, image search for company trademarks, and pharmaceutical molecule analysis. Understand the importance of vector databases in flow-based AI applications and unstructured data services for AI.

Milvus - Accelerating Approximate Nearest Neighbor Search for Large Scale Datasets

Linux Foundation
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