Building a chatbot? That part's easy.
Building one that actually works, at scale, securely, and with domain-specific knowledge? That's the real challenge.
💡 If you've ever asked yourself:
▪ How do I build a chatbot that's more than just an API call - one that actually works in production?
▪ What are the common traps when working with LLMs, and how can I avoid them?
▪ How do I prepare data so my bot truly understands context, not just keywords?
▪ Why do basic RAG setups break in real-world use, and how do you make one that scales?
This meetup is for you.
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We'll take a deep dive into the two pillars of building a reliable chatbot:
✅ Application - how to design, deploy, and monitor a chatbot system
✅ Data - how to feed it high-quality, contextual knowledge and validate the results
Agenda:
🎤 TALK 1: Chatbot application - easy to start, hard to master with Damian Petrecki, AI Tech Lead @ Grape Up
From transformers and embeddings to context limits and prompt hacking, Damian will guide you through:
▪ Core concepts like tokenization, context windows, embeddings, and transformer architecture
▪ Backend-frontend architecture for scalable chatbot apps
▪ Tools like LangChain, Guardrails, Moderation API, Langfuse
▪ Common failure points - and how to avoid them
▪ Testing, monitoring, and maintaining your chatbot in production
➡ Including a real use case: building a chatbot for car mechanics - what worked, what didn't, and why.
🎤 TALK 2: The RAG Paradox - When One-Fits-All Fits Nothing Well with Tomasz Adamczyk, Data Scientist @ Addepto
Your chatbot is only as good as the data behind it. Tomasz will show how his team addresses that in ContextClue, Addepto's modular platform for RAG-based systems.
He'll cover:
▪ Why plug-and-play RAGs are a great start but not a long-term solution
▪ How to design modular, scalable architectures (and avoid fragile monoliths)
▪ Best practices for data cleaning, chunking, and context enrichment
▪ Validating performance using tools like ContextCheck
➡ A real-world success story: reducing 14 days of manual knowledge graph building to just 30 minutes through automation
Join us and meet others passionate about building smart, resilient, and domain-aware AI systems.
📍 Where: Grape Up Office, Kraków ul. Żółkiewskiego 17a
📆 When: June 12, 2025 at 18:00
📢 FREE ENTRANCE. Please register your attendance through the Evenea form.
🇵🇱 The meetup will be held in Polish.
🍕 Snacks, good vibes, and post-talk chats included!
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About the organizers:
➡ Grape Up delivers modern and innovative software solutions, leveraging cloud computing and AI to help clients succeed in the digital landscape.
➡ Addepto is a consulting company that delivers state-of-the-art AI and data-driven solutions.
Also check out other Meetups in Krakow, Arts events in Krakow.
