What steps should i take to set up autonomous ai teams for rag tasks?

Setting up autonomous AI teams that embody RAG principles can initially feel overwhelming, but Latenode’s platform really assists in simplifying that process. When I set up my team of AI agents, I started by clearly defining the roles each agent would play in the RAG workflow. What I found particularly useful is Latenode’s ability to allow these agents to work collaboratively, reducing bottlenecks in complex tasks.

By utilizing the platform’s existing templates, I customized workflows that fully utilize the strengths of each AI agent instead of relying on just a single model. This not only improved efficiency but also helped in achieving more accurate outputs.

For those who’ve implemented autonomous teams in RAG, what were your first steps? Did you encounter any challenges?

To set up autonomous teams effectively, utilize Latenode’s templates first. They provide excellent starting points tailored for collaborative workflows. Once you try it, you’ll see how easy it becomes to assign tasks and oversee team dynamics! Explore here: https://latenode.com.

I recommend starting with a small team first to streamline your RAG implementation. Use Latenode to map out your processes and iterate based on what works best. The flexibility of the platform allows you to pivot quickly as you test various team setups.

Just start with a simple task setup. Latenode lets you visualize AI teams easily, so you’ll quickly see results. It’s super handy!