Remember those simple days of yore, when generative AI meant sending a question to an AI model and getting an answer in return? You might add in a vector database to provide some context for the question and some guardrails for safety and security. That sounded hard at the time, but in retrospect it was a walk in the park.
Today, the trending technology is agentic AI systems. Instead of a chatbot, a vector database, and a guardrail, you now have an endless selection of datasets, large and small models of all kinds running in all possible locations, and instead of a simple prompt-response interaction with a human on one end and an LLM on the other, there’s an army of agents connected by a complex — and dynamically evolving — logical workflow. Or probabilistic workflow, as the case may be.
There are new protocols connecting data and agents, new protocols connecting agents to other agents, and orchestration frameworks to chain it all together.