Experience as a Compass: Multi-agent RAG with Evolving Orchestration and Agent Prompts
#multi-agent #RAG #orchestration #agent prompts #experience #evolving #retrieval #generation
📌 Key Takeaways
- The article introduces a multi-agent RAG system that uses experience to guide its processes.
- It features evolving orchestration to dynamically manage interactions between agents.
- Agent prompts are designed to adapt and improve over time based on accumulated experience.
- The system aims to enhance efficiency and accuracy in information retrieval and generation tasks.
📖 Full Retelling
arXiv:2604.00901v1 Announce Type: new
Abstract: Multi-agent Retrieval-Augmented Generation (RAG), wherein each agent takes on a specific role, supports hard queries that require multiple steps and sources, or complex reasoning. Existing approaches, however, rely on static agent behaviors and fixed orchestration strategies, leading to brittle performance on diverse, multi-hop tasks. We identify two key limitations: the lack of continuously adaptive orchestration mechanisms and the absence of beh
🏷️ Themes
AI Systems, Machine Learning
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Original Source
arXiv:2604.00901v1 Announce Type: new
Abstract: Multi-agent Retrieval-Augmented Generation (RAG), wherein each agent takes on a specific role, supports hard queries that require multiple steps and sources, or complex reasoning. Existing approaches, however, rely on static agent behaviors and fixed orchestration strategies, leading to brittle performance on diverse, multi-hop tasks. We identify two key limitations: the lack of continuously adaptive orchestration mechanisms and the absence of beh
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