> Markdown version of [/events/world-congress-2024/sessions/122-large-language](https://www.wearedevelopers.com/events/world-congress-2024/sessions/122-large-language). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Large Language Models ❤️ Knowledge Graphs - **Date:** Thursday, Jul 18, 2024 - **Time:** 13:30–14:00 (30 min) - **Room:** STAGE 3 (120) - **Event:** World Congress 2024 ## Recording [Watch recording](https://www.wearedevelopers.com/videos/1154-large-language-models-knowledge-graphs) ## Description As you might have experienced, LLMs are powerful but not always trustworthy assistants. With a combination of a knowledge graph and vector search, you can provide the LLM with the correct, relevant context information it needs to answer your user's questions. GraphRAG is an advanced RAG (retrieval augmented generation) pattern in the Haystack-Neo4j integration. ​In this talk, we'll explain and demonstrate the building blocks of such an approach and show an example of code and live in action. ​Of course, nothing is perfect; it's important to walk through the challenges of building such GenAI apps and how to address them. ## Speaker ### [Michael Hunger](https://www.wearedevelopers.com/@michael-hunger) Head of Product Innovation, Neo4j ## Related talks at this congress - [Exploring Advanced Patterns in Retrieval-Augmented Generation](https://www.wearedevelopers.com/events/world-congress-2024/sessions/433-exploring-advanced) — Carl Lapierre - [Build RAG from Scratch](https://www.wearedevelopers.com/events/world-congress-2024/sessions/186-build-rag-from) — philnash - [Why do LLMs hallucinate?](https://www.wearedevelopers.com/events/world-congress-2024/sessions/151-why-do-llms) — ofermend - [Give Your LLMs a Left Brain](https://www.wearedevelopers.com/events/world-congress-2024/sessions/199-give-your-llms-a) — Stephen Chin