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?