Part 1/6:
Building an Advanced Multi-Agent AI Application
In this longform article, we dive into the exciting world of constructing an advanced multi-agent AI application, leveraging multiple large language models (LLMs) to enhance functionality and user experience. This guide encapsulates a full development cycle, where readers will grasp how to create a multi-faceted AI application using Python, Streamlit, and LangFlow, among other technologies.
Introduction to Advanced AI Applications
The project begins with an overview of using various large language models to handle different tasks within the application. The goal is to establish an LLM responsible for routing tasks to these models, thereby creating a seamless and efficient user experience. The primary technologies involved include: