Use TiDB as a Unified Storage for AI Applications

Lab Description

In the first four modules of this lab, you'll work with multiple heterogeneous data stores (such as MySQL, Milvus, and ElasticSearch) to address different requirements in a GenAI RAG application. This will require several Python packages, allowing you to experience the challenges of development and maintenance. In Module 5, you'll use just one Python package - pytidb - and one data store - TiDB - as the unified data storage for GenAI. Here, you'll see firsthand how much simpler and more efficient it is to power your GenAI applications with TiDB.