Martina D'Antoni
KBMS Data Force - Software Engineer
Rome, Italy
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I hold a degree in Clinical Engineering and a master degree in Biomedical Engineering. I work as a Software Engineer in the healthcare field since 2021. I have acquired valuable experience in designing and implementing web applications using ASP.NET
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Building an Agentic RAG Pipeline
Traditional Retrieval-Augmented Generation (RAG) combines external data with generative models, but Agentic RAG takes this a step further by using intelligent agents to refine queries and enhance results. These agents independently manage the retrieval and generation process, improving accuracy and relevance through iterative querying and self-correction. In this talk, we’ll compare standard RAG with Agentic RAG, demonstrating how the agent-driven approach provides greater flexibility, scalability, and performance for complex, real-world tasks. Learn how to implement Agentic RAG to optimize AI-driven systems for more sophisticated and accurate results.
Martina D'Antoni
KBMS Data Force - Software Engineer
Rome, Italy
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