GenAI Cracow #24 - RAG Systems

​Throwback Monday - during this edition we will back to our roots again - RAG-based systems

​Main talk:

​Search Small, Return Big: Building a Parent Document Retriever

​RAG systems force a trade-off: small chunks embed well but lose context, while large chunks preserve meaning but reduce search accuracy. Parent Document Retriever solves this by separating what you search from what you return indexing small semantic chunks for precision, while retrieving larger parent documents for rich LLM context.

​We will compare naive RAG with PDR, break down the dual-store architecture, discuss when it works (and when it fails), and build a working implementation using LangChain with persistent storage.

​

​Right after the main presentation, we will open 3 Lightning Talks slots for the community.

​A Lightning Talk is a short 5–15 minute, tech-focused session where you can share practical experience with Generative AI in a concise and informal format.

​This slot is open to different types of contributors: • Project builders who want to show how their GenAI project or prototype works

• Practitioners using Generative AI in their daily work and willing to share practical lessons
• Problem owners who want to present a real challenge and get feedback or alternative ideas from the community

​Please note: • This is a technical session • No marketing or sales presentations • No product pitches • All Lightning Talk speakers are validated before the event.

​It does not need to be perfect or polished, and you do not need a PowerPoint presentation.

​Your Lightning Talk can be very simple, for example: • a walkthrough of a small code snippet • a quick look at a GitHub repository • a Jupyter notebook • or just a short technical talk followed by discussion

​The goal is sharing knowledge and practical experience, not perfect slides or formal presentations.

​How to apply • Register for the event on Luma and mark your willingness to give a Lightning Talk • Or contact Konrad Bujak directly via LinkedIn

​Speakers

​Konrad Bujak

Generative AI Engineer and Product Manager, working in IT for the past 14 years. MSc. in AI Engineering. Founder @ CEE AI Hub, AI venture building and local communities booster. Sometimes also a private consultant helping companies implementing Generative AI features / products and building product (engineering) teams. IoT and homelab enthusiast.

​Partners

​CEE AI Hub