Unconference: Context Engineering with Open-Source
An evening of open discussions around Open-Source AI with a sharp focus on the context layer: retrieval, memory, and how to engineer context intelligently for real-world AI systems using tools like Haystack (open-source AI orchestration framework), Qdrant (open-source vector search engine), and Cognee (open-source knowledge engine).
🎯 What Is Context Engineering?
Context engineering is the practice of deliberately designing the information, tools, and memory that an AI system can access at runtime to reliably complete real tasks.
This includes decisions like:
How documents are indexed and retrieved
How long-term memory is structured and updated
How tools are selected and orchestrated
How data flows across components
As Europe’s open-source AI ecosystem grows, questions around data ownership, controllability, and sovereign AI are becoming concrete engineering concerns. The way you design your context layer directly impacts privacy, compliance, transparency, and long-term strategic independence.
👥 Who is This Event For?
This event is for builders and decision makers alike, including:
AI/ML practitioners and engineers
Product managers and tech leads
Founders and engineering managers
Innovation leads and decision makers exploring AI adoption
The goal is to share experiences, ask questions, and learn from others who are building or enabling real-world AI systems.
🧠 Unconference Event Format
No slides. No traditional meetup talks.
We’ll form discussion groups around context engineering topics shaped by your input during registration, so the agenda reflects what matters most to you.
You can bring your questions, share your learnings, discuss real challenges, or simply listen in and learn from others in the field.