Building AI Agents with interSystems IRIS - What do we mean?

Hi, colleagues!

As you can see the new topic of the programming contest - AI Agents. 

The topic was over-hyped recently on the Internet and has different meanings. You might get curious about what we mean by AI agents in regard to the InterSystems programming contest.

Indeed, we believe that AI agents can change the landscape of IT solutions in almost all spheres significantly boosting its efficiency and often changing the way of management, consumption and operation.

In general, AI agents are about the enablement of different business processes into automation so that automation includes decision-making based on any of the GenAI engines available on the market, e.g., OpenAI, Claude, or Grok which could be used in conjunction with IRIS Vector Search related to RAG solutions. 

Usually, AI agent building assumes leveraging any of the scenario automation engines, such as Zapier, Make, N8N, Pydentic or/and InterSystems IRIS Interoperability.

What AI agents can do? Well, we can ask ChatGPT about it now, but the most usual practices are:

• - checking, filtering, and answering emails,
• - looking for events of a kind and booking tickets,
• - answering support tickets,
• - monitoring database/services and cleaning up or providing service operations.

So in this contest, we'll consider as an AI Agentic a solution that leverages:

- any LLM engine for making decisions (e.g. OpenAI, Antropic, Grok),

- any automation/interoperability engine (e.g. Zapier, Make, N8N, IRIS Interoperability),

- either IRIS database, IRIS Interoperability, or IRIS Vector Search usage is a mandatory condition.

Good luck, and I am looking forward to introducing more helpful AI agents of any kind powered by InterSystems IRIS!