## Conclusion

In the development of AI applications, relational databases, vector computation, and full-text indexing have become frequently used features. Due to the lack of unified solutions on the market, we need to introduce relational databases, vector databases, and search engines. This makes our solutions extremely complex. This complexity is actually caused by the lack of capabilities in databases.

![70%](https://lab-static.pingcap.com/quick-demo/demo-422/422-with-bg.png)

TiDB solves this problem by making the code simpler and more maintainable. Developers no longer need to use multiple data stores and move data between them. Instead, they can store and access data in a unified way, all in one place. This significantly lowers the barrier to developing applications in the field of AI.