Milvus - Accelerating Approximate Nearest Neighbor Search for Large Scale Datasets

Milvus - Accelerating Approximate Nearest Neighbor Search for Large Scale Datasets

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.