Tag: Multi-Agent Systems
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Google’s Agent to Agent Protocol: Revolutionizing How AI Systems Work Together
Google’s Agent to Agent (A2A) Protocol aims to solve one of AI’s biggest challenges: the inability of specialized AI systems to communicate with each other effectively. Announced at Google Cloud Next in April 2025, this open standard creates a universal language for AI agents, regardless of who built them or what technology powers them. By…
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From Single Agents to Multi-Agent Systems: The Evolution of Agentic AI
Explore the evolution of Agentic AI from single agents to collaborative multi-agent systems. Discover the benefits, real-world applications, and future of networked intelligence.
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Charting the Course: Emerging Trends in Agentic AI Research
Explore the cutting-edge developments shaping the future of intelligent systems. This article delves into the most exciting emerging trends in agentic AI research, from explainable AI to neuro-inspired architectures.
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Schema Evolution and Management in Neo4j for Dynamic MAS: Adapting to the Flow of Knowledge
Address the complexities of schema evolution in Neo4j for dynamic Multi-Agent Systems, exploring strategies for managing schema changes and ensuring data consistency in a constantly evolving knowledge graph.
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Multi-Modal Knowledge Representation in Neo4j for LangGraph: Weaving Together the Threads of Reality
Explore how to represent and integrate multi-modal knowledge (text, images, sensor data) within a Neo4j knowledge graph for LangGraph MAS, building a holistic understanding and enabling more intelligent agents.
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Knowledge Graph Reasoning with Graph Neural Networks (GNNs) in Neo4j: Unlocking Deeper Insights
Explore how Graph Neural Networks (GNNs) can be used with Neo4j to enhance knowledge graph reasoning in Multi-Agent Systems, enabling deeper insights and more informed decision-making.
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Graph Partitioning and Distribution for Scalable MAS in Neo4j: Taming the Titans of Knowledge
Explore strategies for partitioning and distributing large knowledge graphs across multiple Neo4j instances to support scalable Multi-Agent System deployments, ensuring performance and handling massive data volumes.
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