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Nodes2024

Dev Conference by Neo4j

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LLM-Assisted Data Exploration With the Neo4j Runway Python Library

Session Track: Graphs

Session Time:

Session description

In this session, Alex will guide you through how to use the Neo4j Runway Python library to explore your relational data as a graph. Runway abstracts communicate with LLMs to assist in data discovery and graph data model generation. It also provides methods to import data models from other tools, such as arrows.app, and automatically generate ingestion code. It can also easily load your data into Neo4j.

Speaker

photo of Alex Gilmore

Alex Gilmore

Consulting Engineer, Neo4j

Alex has been a consulting engineer at Neo4j for nearly a year and a half now. He has worked on a variety of graph + GenAI engagements and enjoys presenting and writing about these topics. He also has an adorable Catahoula puppy named Pochita.