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This talk examines how vector databases store and retrieve data, including vector indexes, hybrid search, quantization, and integration with AI models. It also considers how these features affect performance, retrieval-augmented generation, and multi-tenant data isolation.
Syllabus
What's in a Vector Database? - JP Hwang, Weaviate
Taught by
Linux Foundation