Tutorial: Building a Semantic Text Search Application, May 18, 2023 @ 9am

Speaker: Yujian Tang, Zilliz
May 18, 2023 @ 9am Pacific
Link: https://bit.ly/3nJrRJS

What will you learn?

In this hands-on tutorial, we’ll introduce embeddings and vector search from both an ML- and application-level perspective. We’ll start with a high-level overview of embeddings and discuss best practices around embedding generation and usage.

Then we’ll use this knowledge to build a semantic text search application. Finally, we’ll see how we can put our application into production using Milvus, the world’s most popular open-source vector database.

What you’ll need:

• Python 3.9 or above
• A basic understanding of vectors and databases

What you’ll learn:

• What is vector database
• What is semantic similarity
• How to use a vector database to find similar texts

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.