Building Knowledge Base for Real Estate Using Gemma and Neo4j

Session Track: Graphs

Session Time: 06:15 am - 06:45 am November 7

Session description

In this presentation, we delve into the development and deployment of a custom Large Language Model (LLM) tailored for a major infrastructure company. Leveraging the capabilities of Gemma and Neo4j, we created an advanced, queryable knowledge base that consolidates data from past real estate projects. This solution not only enhances data accessibility and retrieval but also demonstrates the transformative potential of AI in the real estate sector. Attendees will gain insights into the design, implementation, and benefits of integrating LLMs with robust database systems to streamline knowledge management and drive informed decision making.