Building Knowledge Graphs using LLMs

Join us to explore the process of building knowledge graphs using Large Language Models (LLMs). This online session focuses on using LLMs to automatically extract knowledge graphs from unstructured data.

You'll learn how an LLM can identify key entities and their relationships, creating a structured representation of information. We will then demonstrate how to integrate this LLM-generated knowledge graph into a RAG pipeline, transforming it into a GraphRAG architecture for improved accuracy and contextual understanding in question answering.

This online session is tailored for developers interested in advancing their RAG implementations or other AI projects with the power of LLM-driven knowledge graphs.

Agenda

• Introduction / Meet the Community - 10 minutes
• Building Knowledge Graphs using LLMs - 40 mins
• Q&A - 10 mins

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FAQs

Am I guaranteed a ticket at this event?
Our events are tech-focused and in the interest of keeping our events relevant and meaningful for those attending, tickets are issued at our discretion. We therefore reserve the right to refund ticket orders before the event and to request proof of identity and/or professional background upon entry.

Is this event for me?
SurrealDB events are for software engineers, developers, architects, data scientists, data engineers, or any tech professionals keen to discover more about SurrealDB: a scalable multi-model database that allows users and developers to focus on building their applications with ease and speed.

Are there any House Rules?
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