Powering GenAI with Scalable Vector Solutions

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Powering GenAI with Scalable Vector Solutions

About this session

80% of the data in the world is unstructured data and vector databases can help you get valuable insights from unstructured data. The team at Zilliz built Milvus, one of the most popular open source vector databases, as a distributed system to support vector collections that exceed billion-scale. This session will dive into the architecture decisions that enable the Milvus vector database to seamlessly scale horizontally, provide users with tunable consistency, orchestrate in-memory and on-disk indexing, and scalable search strategies.

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Stephen Batifol
Developer Advocate
Stephen Batifol is a Developer Advocate at Zilliz. He previously worked as a Machine Learning Engineer at Wolt, where he was working on the ML Platform and as a Data Scientist at Brevo. Stephen studied Computer Science and Artificial Intelligence. He enjoys dancing and surfing.