Frank Liu: Why I Joined a Vector Database Company

The text discusses the importance of machine learning models and their corresponding embeddings, which are high-dimensional vectors that provide an abstract way to represent input data in the model. It explains how embeddings have been used in various applications such as image recognition and semantic search. The author shares their personal journey working with embeddings and vector search, highlighting their experiences at Yahoo and a startup they founded. They also discuss Zilliz's mission to build an affordable and scalable vector search solution for the enterprise AI infrastructure market. The text ends by inviting readers to join Zilliz in its efforts to democratize enterprise AI infrastructure.

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