By combining MCP and A2A, we can obtain multi-agent applications that coordinate AI agents to access data and tools and communicate with each other, facilitating the efficient and dynamic execution of complex tasks.
What is the difference between AI Agents and AgenticAI? To answer this question, we must first understand what Large Language Models (LLMs) are and what Retrieval Augmented Generation (RAG) is.
By combining Knowledge Graphs with generative AI, we can obtain formal ontologies capable of transforming information into reliable knowledge, facilitating validation with experts and reducing AI hallucinations in multiple areas of business.
