Graphs & LLM : a visual introduction at e-tissage

Graphs & LLM : a visual introduction

Explore Core Concepts – Gain a foundational understanding of how graph technologies enhance Generative AI applications. Learn about essential terms and concepts such as embeddings, vector search, and Graph #RAG.
Learn about the #Neo4j property graph model – Understand how it can be leveraged to structure and query data effectively.
Understand Limitations and Opportunities – Identify some of the current limitations of integrating graphs with LLMs and explore opportunities for overcoming these challenges.
Receive Practical Resources – Walk away with a cheat sheet that includes technical basics, helpful documentation, and essential resources. You’ll also receive code examples for Neo4j and #LangChain to help you get started.

Whether you’re new to the potential of combining graphs with LLMs or need to convey these ideas to non-technical colleagues, this talk will help you move forward!