AI agents are autonomous systems based on large language models (LLMs) capable of making independent decisions and executing tasks. These agents interact with their environment through a variety of provided tools and plugins that extend their functionality. A key aspect of AI agents is their ability not only to respond to queries but also to act proactively and automate complex workflows. This reduces the need for constant human oversight, allowing systems to operate more efficiently and accurately.
Another crucial component of AI agents is their ability to retain and recall information, utilize external tools and APIs, and plan and execute multi-step workflows. These capabilities make them ideal candidates for integration into Retrieval-Augmented Generation (RAG) applications, where they can assist in organizing and retrieving information more efficiently. By combining autonomy, tool usage, and decision-making, AI agents provide a powerful platform for solving complex challenges and supporting humans in handling diverse tasks.
