Building Multi-Agents systems with LangFlow

An implementation with Azure OpenAI

AI Agents are not new in the landscape of Generative AI, yet it’s been only over the last 2 months they really started taking off from an enterprise perspective.

But what is an AI Agent?

We can define an AI Agent as a hyper-specialized, goal oriented and autonomous AI entity featured by the following component:

• An LLM which acts as the brain of the agent
• A system message which sets the agent’s mission
• An orchestration layer which make it easier to manage the agent’s components (LangChain, Semantic Kernel, Autogen and many others a re examples of orchestrators)
• Memory which provides the agent with the context of the conversation
• Knowledge Base which provides the agent with relevant information to be retrieved
• Tools which allow the agent to perform actions in the surrounding ecosystem.

For example, let’s say we want to build an AI tutor assistant for students.