PHAROS AI Factory announces the 9th Course of its Training Series, under the title "RAG End-to-End: Architecture, Retrieval, Generation and Evaluation", under the topic AI4LanguageCulture, held online via Zoom.
Date: July 7th, 2026, at 11:00 EEST
Location: Online via Zoom
Presentation Language: Greek
Audience: Machine Learning Engineers, AI Engineers, Data Scientists, Academic Researchers, Language and Culture Experts
Prerequisites: Basic Python knowledge
Learning Objectives:
• Explain the core principles and architecture of Retrieval-Augmented Generation systems.
• Understand why RAG improves factuality, grounding, transparency and access to external knowledge.
• Describe the main RAG pipeline stages, from ingestion and preprocessing to retrieval and response generation.
• Identify design choices for chunking, embeddings, vector storage, retrieval, prompting and answer grounding.
• Evaluate retrieval quality, generation quality and end-to-end RAG behaviour.
Learning Outcomes:
After completing the course, participants will have:
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A clear understanding of the main components and design paradigms of RAG systems.
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Practical familiarity with document preparation, chunking, embedding generation, vector indexing and similarity-based retrieval.
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Hands-on experience in constructing a working RAG pipeline using Python and contemporary tools.
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The ability to connect retrieved evidence with LLM-based answer generation in a grounded and transparent manner.
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Familiarity with evaluation approaches for retrieval, generation, faithfulness, groundedness and overall RAG performance.
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An understanding of how RAG can support Greek-language applications, including public-service information retrieval and conversational assistance.
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The skills to analyse, evaluate and improve RAG systems for real-world deployment
Instructors' profiles:
- George Drosatos, ATHENA RC
George Drosatos is a Principal Researcher, Researcher Grade B, at the Institute for Language and Speech Processing of the Athena Research Center, with expertise in privacy technologies, information retrieval, content analysis, information security and biomedical informatics. He holds a Diploma, MSc and PhD in Electrical and Computer Engineering from Democritus University of Thrace. He has participated in more than 20 national and European research projects and has extensive teaching experience in undergraduate and postgraduate courses at Greek and international universities. His research focuses on privacy-enhancing technologies, secure data analysis, trustworthy AI and data-driven systems. He has authored more than 76 publications, with over 1,800 citations, h-index 23 and i10-index 37. He has also served as Guest Editor in multiple Special Issues and as Secretary General of EAMBES from 2023 to 2025.
More information: https://www.drosatos.info.
- Sotiris Gyftopoulos, ATHENA RC
Sotiris Gyftopoulos is a Scientific Associate at the Institute for Language and Speech Processing (ILSP) of the Athena Research Center. He holds a degree in Computer Science from the University of Crete and a PhD from the Department of Electrical and Computer Engineering at Democritus University of Thrace, with his doctoral research focusing on influence analysis in social networks. His expertise lies at the intersection of Natural Language Processing (NLP), statistical data analysis and social network modelling. With extensive experience in national and European research projects, Dr Gyftopoulos has also taught graduate-level courses on data analysis and database systems. His scientific work has been published in international journals and conference proceedings, with emphasis on information diffusion and influence analysis through stochastic processes and advanced machine learning techniques.
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