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The Signal

Everything that matters in AI, with our take.

Updated through the day. Every headline links straight to the source. The two lines underneath are ours.

arXiv cs.AIPaper

Reimagining Enterprise RAG for Multi-Agent Systems: A Knowledge Layer That Organizes Before It Retrieves

The real story is that flat vector retrieval breaks on recurring entities across services. They built an ontology layer to organize knowledge before retrieval, which is the right architecture for enterprise agents touching multiple systems. If you're wiring agents into complex internal software, this shows why you need structure, not just embeddings. The method is engineering-heavy but the pattern is actionable.

arXiv cs.CLPaper

When Agents Talk, Secrets Travel: Topology-Driven Leakage and Recipient-Conditioned Sanitization in Multi-Agent LLM Systems

This identifies a real gap in conventional privacy models: you can authorize one agent to see sensitive data, but if that agent coordinates with others, the secret travels. RECONS fixes this by conditioning sanitization on recipient and topology rather than just data sensitivity. If you're deploying multi-agent systems with heterogeneous access controls, you probably aren't thinking about this yet. Test your topologies before you have a breach.