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GenAI Cracow #27 - Knowledge Graphs

genai-cracow-27-knowledge-graphs
Event:
GenAI Cracow #27 - Knowledge Graphs
Event type:
Meetup
Category:
IT
Topic:
Date:
25.05.2026 (monday)
Time:
18:00
Language:
English
Price:
Free
City:
Place:
Klaster Innowacji Społeczno-Gospodarczych Zabłocie 20.22
Address:
Agenda:
  • ​​Opening Ceremony
  • ​From RAG to Knowledge Graphs in 2027 by Konrad
  • ​Context Graphs: Agent Memory as a Super Power by Zaid
  • ​​Q&A
  • ​​Quiz
  • ​​Networking


Description:

Abstract

​From RAG to Knowledge Graphs in 2027

Production RAG runs into the same walls: re-chunking and re-embedding on every knowledge update, embedding models that miss semantic nuance, and recursive retrieval that gets expensive fast (have you seen Claude Code?). Knowledge graphs are becoming the semantic layer for agentic workloads (a queryable model of entities and relationships that LLMs consume directly). This talk covers also economics of the migration (one-time knowledge extraction against per-query retrieval over time), where the graph sits in a company's stack, and what teams get wrong on the way there.

​Context Graphs: Agent Memory as a Super Power

AI agents can follow prompts and use tools, but often lack the institutional context needed to explain why a decision is made. That reasoning: policies, precedents, and past outcomes are usually scattered across systems and human memory. Context graphs capture this missing layer by modeling decision traces over time, including causality and context. By giving agents access to just enough historical and organizational knowledge, context graphs enable more explainable, consistent, and auditable decisions.

​Speakers

​Zaid Zaim

As a Developer Advocate at Neo4j, I help developers harness the power of graph technology and AI. A Microsoft MVP and global speaker at events like TED, Microsoft Build, and WeAreDevelopers, I focus on making complex tech accessible through content, community, and hands-on support. My mission is to connect, empower, and inspire developers to build impactful solutions.

LinkedIn


Konrad Bujak

Farmer, AI Engineer & Venture Builder

LinkedIn

​Partners

​Neo4j is the world's leading, privately held graph database and analytics company, specializing in helping organizations unlock value from data relationships. Its graph intelligence platform supports AI/ML, fraud detection, and knowledge graphs, utilized by Fortune 500 companies, including NASA, UBS, and Volvo Cars.

​CEE AI Hub

​Inkubator Przedsiębiorczości

​Kraków Miastem Startupów

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