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of the art in the specific scientific field covered by the fellowship; - Identify and select appropriate methods for the study in question; - Develop research skills through the application of the selected
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; - Design, development, and integration of Agentic RAG architectures based on an orchestrator and a set of intelligent agents for information retrieval and processing; - Validation of the proposed solutions
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Agentic Retrieval-Augmented Generation (Agentic RAG) architectures, multi-agent systems, and integration of heterogeneous data sources; - Design, development, and integration of Agentic RAG architectures
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aims to research and development new functionalities associated with eBPF technology. Specifically, it aims to explore its applicability to new domains such as vector database observability, as
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epileptic patients to the analysis of microscope images. This position aims to research and develop biomedical image processing methods for the subsequent application of artificial intelligence methods