Agentic data science with the Data Agent Kit
cloud.google.com·6h ago
Data Science
Towards Data Science·Aug 18·5 min read
Graph Engineering Isn’t About More Connections — It’s About Which Ones Get Used
TL;DR
Increasing the number of connections in multi-agent systems does not enhance performance; instead, the focus should be on which connections are actively utilized.
✦ Why It Matters
Prioritize optimizing connection selection in multi-agent systems to enhance performance today.
Key Takeaways
- Assess the actual usage of communication pathways in your systems.
- Avoid defaulting to fully connected networks without analysis.
- Consider deterministic policies for reproducible experiments.
- Test different density levels to find optimal communication structures.
How It Works
The experiment utilized a deterministic agent policy where agents shared unique facts based on similarity, allowing for controlled testing of relationship density. By maintaining a fixed number of agents and systematically varying the density, the study isolated the impact of communication structure on performance.