Li Liu

Principal Engineer

Li Liu is the Principal Engineer at Zilliz, leading the vector searching research and development. Before joining Zilliz, he was a Senior Engineer at Meta, designing and shaping numerous advertising stream data frameworks. With a Master's degree from Carnegie Mellon University, he boasts extensive experience in databases and big data. Li Liu's expertise in technology and innovation continues to drive advancements in vector searching, leaving a lasting impact on the field.

Product

Milvus 2.4 Unveils CAGRA: Elevating Vector Search with Next-Gen GPU Indexing

With CAGRA Index support, Milvus 2.4 set a new standard in GPU-accelerated graph indexing, ideal for similarity search applications needing minimal latency.

Mar 20, 20247 min read

Product

Zilliz Cloud: Igniting Vector Searching with Rocket-Like Speed

Zilliz Cloud easily outperforms other vector databases regarding vector searching speed.

Jul 19, 20234 min read

Engineering

Emerging Trends in Vector Database Research and Development

This post discusses the development and anticipated future of vector databases from both technical and practical perspectives, focusing on cost-efficiency and business requirements.

Apr 16, 20249 min read

Engineering

How To Evaluate a Vector Database?

There is no universal ‘best’ vector database—the choice depends on your needs.

Dec 26, 20236 min read

Engineering

Zilliz Vector Search Algorithm Dominates All Four Tracks of BigANN

Zilliz's vector search algorithm surpasses BigANN submissions across all four tracks, achieving 2.5x performance improvement.

Jan 26, 20247 min read

Product

Introducing an Open Source Vector Database Benchmark Tool for Choosing the Ideal Vector Database for Your Project

Introducing VectorDBBench, an open-source vector database benchmark tool for choosing the ideal vector database for your project.

Jun 16, 20235 min read