Did you know, to build an AI agent, you must have a great understanding of LLM, prompts, RAG, workflows, and tools? Did you also know only three types of AI agents are most popular and trending in industries, such as chat, workflow, and dialogue? Let’s explore the three categories of AI agents.
Chat assistant
It is the most common type of AI agent and is currently most utilized by businesses around the world. These agents are based on LLM and fine-tuned by RAG technology. Today, AI chat agents have more functions and evolved from the simplest chat dialogue assistants to super-intelligent agents. If you are interested in a chat-based AI agent for your business, you can easily create one on Coze, Hugging Face, and Lang Chain.
Workflow agents
These AI agents are more complex and help users to accomplish a series of predefined tasks. These agents can perform powerful functions by integrating external tools, APIs, and databases. For example, if you want to conduct automated data analysis, document processing, or information collection, these agents can perform the task with less time. Many platforms allow you to create workflow types of AI agents like Coze, Dify, or Lange chain.
Dialogue flow
These agents have the combination of characteristics of chat assistants and workflow. These agents are required to help users with specific goals. These agents perform their task through preset dialogue paths and decision trees. Most importantly, dialog flow agents always provide the natural chat interaction and perform operations. Moreover, these agents are designed to understand user needs in the conversation. After learning from the conversion, dynamically plan and execute task sequences. In addition, these agents always maintain context consistency for better performance.
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