I spent some time with flowise a year or two ago, and I (maybe unfairly) discounted it because it did not have the ability to run custom code. N8N has that option, so when I needed something in the low-code space, I used that platform. However, n8n has different uses cases, and AI Agents aren’t necessarily one of them. So I decided to take a quick refresher on Flowise (after adding it back in to my tech stack).
Udemy course: https://netrix.udemy.com/course/flowise-essentials
My notes: https://docs.google.com/document/d/1P1tVWhxkFjy17YQCLVRn57DOO33lXEz2SvcJRxjk23M/edit?usp=sharing
Update: It was a good refresher. I spent a little extra time trying to re-create my Research Assistant demo in Flowise, and I also got it working with my llama models. I also spent time seeing if VS Code could create a json respresentation of the Research Demo so that it could be imported into Flowise as an agentflow. It produced the file, but Flowise would not successfully import it.
The research agent, in Flowise.
