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resumo de contexto

  • Open-source Python framework for orchestrating dynamic multi-agent retrieval-augmented generation pipelines with flexible agent collaboration.
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    What is Dynamic Multi-Agent RAG Pathway?
    Dynamic Multi-Agent RAG Pathway provides a modular architecture where each agent handles specific tasks—such as document retrieval, vector search, context summarization, or generation—while a central orchestrator dynamically routes inputs and outputs between them. Developers can define custom agents, assemble pipelines via simple configuration files, and leverage built-in logging, monitoring, and plugin support. This framework accelerates development of complex RAG-based solutions, enabling adaptive task decomposition and parallel processing to improve throughput and accuracy.
    Dynamic Multi-Agent RAG Pathway Core Features
    • Dynamic agent orchestration
    • Retrieval-augmented generation pipelines
    • Modular agent plugin system
    • Configurable YAML-based workflows
    • Built-in logging and monitoring
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