Unlocking the Power of LLMs in Software Development

With the remarkable advancements in Large Language Models (LLMs), it's time to harness this technology in our software applications. To seamlessly integrate LLMs into our software without the hassle of extensive coding and time consumption, two frameworks stand out: Semantic Kernel and LangChain. While Semantic Kernel is ideal for .NET projects, LangChain is better suited for JavaScript and Python applications.

However, if you're looking for a solution that allows you to create diverse workflows visually without extensive coding, n8n and Flowise are superior options. Unlike LangChain and Semantic Kernel, which focus on code chaining and technical details, n8n and Flowise simplify the development process using a drag-and-drop graphical interface. Flowise is recognized as a specialized tool for building AI applications, whereas n8n offers comprehensive automation as a platform, providing an extensive library of connectors and integration with various services and APIs. This makes n8n an excellent choice for organizations seeking full control over data and extensive business process automation.

Below is a simple example of creating a web service to display banking account information:

Example:

1. Define the Workflow: Use n8n to create a workflow that connects to banking APIs.
2. Deploy: Deploy the workflow on cloud or self-hosted environments using n8n's flexible deployment options.

This approach not only streamlines development but also ensures robust integration and automation capabilities.

Feel free to share your experiences or ask questions in the comments below!

FlowiseAI (YC S23) n8n Microsoft AI LangChain