

#030 Vector Search at Scale, Why One Size Doesn't Fit All
Nov 7, 2024
Join Charles Xie, founder and CEO of Zilliz and pioneer behind the Milvus vector database, as he unpacks the complexities of scaling vector search systems. He discusses why vector search slows down at scale and introduces a multi-tier storage strategy that optimizes performance. Charles reveals innovative solutions like real-time search buffers and GPU acceleration to handle massive queries efficiently. He also dives into the future of search technology, including self-learning indices and hybrid search methods that promise to elevate data retrieval.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Intro
00:00 • 2min
Scaling Vector Databases
02:21 • 17min
Optimizing Colbert Calculations for Large Scale Performance
19:36 • 2min
Advancements in Vector Search Technology
21:12 • 6min
Building Efficient Vector Database Systems: Balancing Performance and Cost
27:16 • 4min
Navigating the Balance between Relevancy and Latency in Vector Search Systems
31:13 • 5min