GRNET, in the context of Smart Attica EDIH (European Digital Innovation Hub), announces the 12th training module of its Training Modules for SMEs with the subject “Retrieval-Augmented Generation (RAG) with Docling Document Parsing“.
Date: Wednesday June 24, at 11:00 EET
Location: Online via Zoom
Presentation Languages: Greek, English
Instructors: Nikos Bakas (GRNET), Roman Dolgopolyi (GRNET)
Duration: 3 hours
Description: This is a hands-on introduction to turning real-world documents into knowledge a language model can use. Real documents are not plain text – they contain headings, tables, figures, captions, and reading order. Participants learn how Docling converts a PDF into structured content using layout-aware vision models, how to inspect and chunk that content intelligently, and how to assemble a complete Retrieval-Augmented Generation (RAG) pipeline: chunk, embed, retrieve, and generate a grounded, citable answer.
Target Audience: This module is designed for SME developers, technical leads, and data scientists who want to build question-answering systems over their own documents. It is ideal for those looking to ground language models in trusted internal knowledge sources.
Read more and register here.
