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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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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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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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-02974200 (24765) Co-funded by ERDF - European Regional Development Fund through the Innovation and Digital Transition Thematic Programme (COMPETE 2030) within the scope of Portugal 2030. 1. GRANT DESCRIPTION
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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
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ERDF - European Regional Development Fund through the Innovation and Digital Transition Thematic Programme (COMPETE 2030) within the scope of Portugal 2030. 1. GRANT DESCRIPTION Type of grant: Research
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, with reference 21054 (NORTE2030-FEDER-02183900) Co-funded by ERDF - European Regional Development Fund through the NORTE 2030 Regional Program under the scope of Portugal 2030., however, INESC TEC can