
Tag: Multi-Agent
2 entries found

Agent Lightning: Microsoft and the Future of AI Agent Orchestration
A few days ago I discovered Agent Lightning, a Microsoft project that I believe marks a before and after in how we think about AI agent orchestration. It’s not just another library; it’s a serious attempt to standardize how we build multi-agent systems.
What is Agent Lightning?
Agent Lightning is a Microsoft framework for orchestrating AI agents. It enables composition, integration, and deployment of multi-agent systems in a modular and scalable way. The premise is simple but powerful: agents should be components that can be combined, connected, and reused.

Baidu and the New Search Paradigm with Multi-Agents: When AI Learns to Collaborate
After many years working with systems of all kinds, I’ve seen how information retrieval has evolved from simple databases to today’s sophisticated systems. But what Baidu researchers have just proposed has particularly caught my attention, and I believe it marks a before and after in how we think about intelligent information retrieval.
The problem we all know (but don’t always admit)
If you’ve worked with RAG (Retrieval-Augmented Generation) systems, you know they work quite well for direct questions. But when you face queries that require multiple reasoning steps, comparing information from multiple sources, or handling contradictory data… that’s where it gets complicated. And a lot.




