Retrieval-Augmented Generation (RAG) has transformed how AI systems access and utilize knowledge, but basic implementations often fall short in real-world applications. In this talk, we’ll explore advanced RAG techniques that improve retrieval accuracy, context awareness, efficiency, and reasoning capabilities.
Nikos Kousiadis
Netcompany
Nikos is an experienced leader specializing in delivering transformative AI solutions across various industries. His expertise includes advanced machine learning, generative AI applications and data analytics. Nikos has a proven track record of developing robust machine learning pipelines, designing custom data-driven tools, and successfully leading teams to implement strategic analytics solutions that significantly enhance business decision-making and operational efficiency.
Michael Katsilieris
Netcompany-Intrasoft
Michael Katsilieris is a seasoned Lead AI Engineer at Netcompany, bringing over a decade of experience in data science, machine learning, and artificial intelligence. In his current role, he leads a team of AI engineers and MLOps specialists to design, develop, and optimize Generative AI architectures tailored to diverse business requirements. His expertise encompasses the development of end-to-end AI pipelines, the integration of advanced AI models into production environments, and the implementation of scalable AI solutions on cloud platforms such as and Azure. Michael holds an MSc in Applied Mathematics and Physics, blending academic rigor with practical industry experience to drive innovative, data-driven solutions across various sectors.