AI and ChatGPT are all the rage these days. Seems like around every corner is another break-through in how we interact with data, regardless of if that data is structured or un-structured. In my latest video, I dive into implementing a Retrieval-Augmented Generation (RAG) solution using Azure SQL Database! This advancement in vectors and embedding allows me to use my own data in conjunction with Open AI Azure Services and certain language models to create chatbots that know my data.
In the video I briefly talk about some of the components of a RAG Solution and discuss at a high level of how the architecture looks. I walk through a quick demonstration on how it works to showcase the usefulness and to provide an example what you can do with your data. Microsoft is making good strides in making the journey to Open AI more accessible and this is just another step in the journey.
If you are interested in making Open AI interact with your won data, make sure to check this video out. Azure SQL Database is helping to pave the way to smarter and better AI!
Check it out and let me know what you think!
© 2024, John Morehouse. All rights reserved.
The post Implement a RAG Solution Using Azure SQL Database first appeared on John Morehouse.