In my other post/notebook, Using GPT Vision in RAG, we use vision to help enrich our content during ingestion, prior to chat. By using vision, we are able to create robust descriptions of our complex slides that contain charts and graphs, and bring some amazing value to our end users. In this post, we're going to... Continue Reading →
Using GPT Vision in RAG
This post is created off of a Jupyter notebook in Github, which you can access here. I copied all the content for this blog post. I've adapted this a little to read easier and include no code, just the good tid bits. We're going to explore using OpenAI's GPT Vision with 4o model to gather... Continue Reading →
