AI Service Center: Efficient Information Retrieval – Part I
Introductory workshop on retrieval-augmented generation for local, secure AI systems using your own data.
Part I of this four-part workshop series introduces participants to the fundamentals of Retrieval-Augmented Generation (RAG). The focus is on building a local, data-secure system that retrieves information from your own documents and generates contextual, understandable answers without sharing sensitive data with third-party providers.
The workshop covers the core components of RAG systems, including local large language models, embeddings, and vector databases. In a hands-on session, participants set up a complete minimal RAG system and explore semantic search and answer generation on real documents.
Part I lays the technical foundation for the subsequent workshops and enables participants to assess and adapt RAG for their own data and use cases.
Event Details
- Title: Efficient Information Retrieval – Part I
- Format: In-person workshop
- Topic: Retrieval-Augmented Generation (RAG)
- Date: Wednesday, May 6, 2026
- Time: 3:00–6:00 PM (CEST)
- Location: Hasso-Plattner-Institut
Prof.-Dr.-Helmert-Straße 2–3, Building K, Room K-1.04, 14482 Potsdam - Organizer: AI Service Center Berlin-Brandenburg @ HPI
- Duration: 3 hours
- Admission: Free, registration required
- Requirements: Experience with Python, GitHub, and Docker or completion of a basic AI workshop
- Note: Photo, audio, and video recordings will take place during the event