Yujian Tang
Developer Advocate at Zilliz
Seattle, Washington, United States
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Yujian Tang is a Developer Advocate at Zilliz. He has a background as a software engineer working on AutoML at Amazon. Yujian studied Computer Science, Statistics, and Neuroscience with research papers published to conferences including IEEE Big Data. He enjoys drinking bubble tea, spending time with family, and being near water.
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Enterprise Considerations for Semantic Similarity
What do you think is the most important consideration for enterprises when it comes to semantic similarity? In 2021, we saw that one of the biggest challenges enterprises face is scale. Alibaba has over 5 trillion vectors.
In this talk, we cover why vector databases are different from traditional databases, how semantic similarity search works, and what we've learned as a team after Milvus has been deployed in over 5000 enterprise environments.
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