How to build your RAG application from scratch with Byzer-SQL

I wrote an article that introduces how to build your RAG application from scratch. This article will teach you how to use SQL-like statements to initiate an embedding model, a large language model, and a retrieval system.

It also guides you on using SQL for data preprocessing, such as tokenization and vectorization, and utilizing SQL for post-processing the recall dataset, like shortening the recall results using large language model.

Finally, it enables large language model to answer user queries based on these results.

In the end, we also discuss how to access the models and retrieval system through a REST API, allowing you to quickly integrate the capabilities of large language model and retrieval into your own business systems.