Software Engineering Events in Potsdam

Programm
19:00 | Thema "Sommerpause – Offline im Biergarten"

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Das Meetup für Online Business & Online Marketing – mit WordPress als Fundament.

Details zum Thema folgen.
Weg von Bits & Bytes. Hin zu Reichweite, Leads und Wachstum.
Weniger Technik-Diskussionen. Mehr Sichtbarkeit, Conversion und Umsatz.
Es wird ein Brainstorming-Meetup.... Sei herzlich willkommen oder empfehle uns weiter

Nach dem Thema und vor dem Netzwerken und einem regen Erfahrungsaustauschgibt gibt es Zeit für eure allgemeinen Fragen über alles was ihr wissen wollt. Wir sind für Support da um die eine oder andere technische Frage rund um WordPress zu lösen.

Weitere Informationen zum Meetup, der Location und Rückblicke auf vergangene Veranstaltungen findet ihr in unserem Blog unter https://wpmeetup-potsdam.de

AI Workshop | Introduction to Retrieval-Augmented Generation (RAG)

Do you spend too much time searching for information in PDFs, folder structures or internal documentation? Traditional AI chatbots quickly reach their limits here, either because they do not have access to your data or because sensitive content would have to be passed on to external providers.

In part I of this four-part workshop series, you will learn how to set up a local, data-secure system on your laptop. This system enables you to retrieve specific information from your own documents and generate context-related, comprehensible answers from it, without sharing your data with third-party providers.

Typical applications include internal knowledge databases, guidelines, and project documentation.

A retrieval-augmented generation system (RAG system) can generate answers based on your data. In this workshop you will learn the fundamental building blocks: local large language models (LLM), embeddings, and vector databases. By the end, you will understand how RAG works, its advantages over pure LLM queries, and how to evaluate whether RAG is suitable for your own data and use cases.

In the practical part of this workshop, you will install a complete minimal version of a RAG system:

· Local LLM (CPU- or GPU-accelerated), hosted with vLLM

· Simple vector database based on Qdrant

· Example documents indexed using different embedding models

· Retrieval using various semantic search techniques

· Generating answers based on relevant information and your own prompts

You will learn the basics of semantic vectors (e.g., distance metrics such as cosine similarity) and explore various open-source models. Advanced concepts such as Graph RAG or HNSW are introduced conceptually but not yet covered in depth.

👉 This workshop lays the foundation for all other parts of the series.
After the workshop, you will have a working local RAG system and know how to transfer it to your own data.

Requirements

Experience with Python, GitHub, and Docker.
or completion of our Getting Started Guide
or participation in our basic workshop ‘First steps towards your own AI application’.

Registration & participation

Registration is binding. If you are unable to attend, please cancel your ticket in good time to allow other participants to take your place.

Important Information

Photographs, audio recordings and films will be made during the event. By participating in the event, you agree that photos, audio and video recordings in which you are recognizable may be published as part of the public relations work of the AI Service Center Berlin-Brandenburg and the HPI.

The AI Service Centre Berlin-Brandenburg is a project of the Federal Ministry of Research, Technology and Space. Its aim is to lower the barriers for using AI in business and society.

Are you interested in our free workshops and other events that we offer? Then sign up for our newsletter.

Networking and Discussions on Retrieval-Augmented Generation (RAG)

Many teams face similar challenges when developing and optimising retrieval-augmented generation (RAG) systems:

Which tools are suitable for document processing? How can response quality be effectively evaluated? And how can issues within a RAG pipeline be identified and resolved efficiently?

The RAG Forum provides a setting for professional exchange and collaborative development of solution approaches in a relaxed atmosphere.

What to expect :

• A short expert input introducing a selected tool or approach
  (e.g. efficient ingestion pipelines with Docling, quantitative evaluation with Ragas or tracing and debugging with LangSmith)

• Discussion about the challenges of developing and optimising RAG systems

• Collaborative development of concrete solution approaches

• Exchange of experiences and networking with other participants

Bring your own questions, technical issues or use cases und let's explore solutions together!

👉 The RAG Forum is intended for developers, technical project leads and AI practitioners who are working on their own RAG systems or who are seeking to improve existing solutions.

Registration & participation

Registration is binding. If you are unable to attend, please cancel your ticket in good time to allow other participants to take your place.

Important Information

Photographs, audio recordings and films will be made during the event. By participating in the event, you agree that photos, audio and video recordings in which you are recognizable may be published as part of the public relations work of the AI Service Center Berlin-Brandenburg and the HPI.

The AI Service Centre Berlin-Brandenburg is a project of the Federal Ministry of Research, Technology and Space. Its aim is to lower the barriers for using AI in business and society.

Are you interested in our free workshops and other events that we offer? Then sign up for our newsletter.

AI Workshop | Data Preparation and Advanced RAG Techniques

Your RAG system works in principle, but when it comes to real data, the system reaches its limits? Diverse file formats, unstructured content, large volumes and complex search queries result in relevant information not being found or answers losing quality.

In Part II of our workshop series, you will learn how to develop reliable and robust RAG systems or improve existing systems.

The focus is on advanced methods for processing various data types (e.g. PDF, HTML, XML, images, tables) and techniques for optimising RAG systems. Using realistic sample data sets, you will apply the methods and transfer them to your specific use case.

Key topics:

· Chunking strategies for different document types

· Handling long documents

· Multi-query retrieval

· Fusion strategies and re-ranking

· HNSW for efficient approximate nearest-neighbour search

· Scoring functions like BW25

· Fundamentals of Graph RAG and building a knowledge graph from your own documents

· Evaluation of RAG systems (Precision@K, Recall@K, MRR, nDCG)

· Differences between text embeddings and multimodal embeddings

👉 Part II expands on the technical fundamentals covered in Part I and prepares you for optimisation through human feedback in Part III.
After the workshop, you will be able to measure and improve the quality and reliability of your RAG system.

Requirements:
Participation in Part I of the workshop series
or equivalent experience with programming and RAG systems.

Registration & participation

Registration is binding. If you are unable to attend, please cancel your ticket in good time to allow other participants to take your place.

Important Information

Photographs, audio recordings and films will be made during the event. By participating in the event, you agree that photos, audio and video recordings in which you are recognizable may be published as part of the public relations work of the AI Service Center Berlin-Brandenburg and the HPI.

The AI Service Centre Berlin-Brandenburg is a project of the Federal Ministry of Research, Technology and Space. Its aim is to lower the barriers for using AI in business and society.

Are you interested in our free workshops and other events that we offer? Then sign up for our newsletter.

Explore what’s next in MediaTech

Quo vadis immersive? XR und Co. in der Praxis

VR, XR, KI-Workflows: In unserer neuen Eventreihe Future Frames bekommt ihr Einblicke in den Maschinenraum der Medienbranche – und zwar von Menschen, die ihn wie ihre Westentasche kennen. Euch erwarten spannende Use Cases in Kombination mit offener Diskussion.

Das Deep-Dive-Format des MediaTech Hub Potsdam ermöglicht euch am Standort Babelsberg regelmäßig den direkten Austausch mit Brancheninsider:innen, CEOs und Expert:innen aus der bundesweiten Tech-Szene.

Ausgabe #5: „Quo vadis immersive? XR und Co. in der Praxis“

Ist Extended Reality tot, oder leben Totgesagte nur länger? Auch wenn XR und Co. aktuell nicht mehr ganz so präsent sind wie zu Zeiten des Metaverse-Hypes: It’s alive and beating! Warum das so ist, erfahrt ihr am 23. September von Sönke Kirchhof bei der fünften Ausgabe von FUTURE FRAMES.

Als CEO und Gründer der INVR.SPACE GmbH bringt Sönke nicht nur tiefgreifende Research & Development-Expertise aus internationalen Produktionen in den Bereichen VR, AR und Stereo 3D mit. Mit uns spricht er auch über seine Erfahrungen als Vorstandsmitglied von Fachverbänden wie dem XR4EU und dem EDFVR. Ihr wollt wissen, was in Europa in Sachen Immersion auf dem Plan steht? Dann seid ihr hier genau richtig.

Agenda

16:00-16:10 Uhr – Ankommen & Begrüßung durch MTH-Potsdam (Simon Sturzenegger)
16:10-17:30 Uhr – Deep Dive mit Sönke Kirchhof, INVR.SPACE
17:30-18:30 Uhr – Ausklang & Networking

Wann? 23.09.2026, 16:00–18:00 Uhr
Wo? MediaTech Hub Potsdam, August-Bebel-Str. 26-53 (Haus 4), 14482 Potsdam