Unleashing the Synergy of LLMs and Knowledge Graphs

Large language models (LLMs) can be incredibly transformative for surfacing company data & insights. However, the path to enriching a company's knowledge base with LLMs remains uncharted.

This webinar explores the interaction between LLMs and Knowledge Graphs (KG). We first demonstrate how LLMs can transform unstructured text into a well-formed Knowledge Graph by extracting entities and relationships from a dataset. We discuss the added value of storing data within a KG and how companies can leverage them.

Next, we delve into how LLM applications can interact seamlessly with the structured knowledge within a knowledge graph. In this session, with the help of a business use case, we explore how this knowledge graph empowers LLM applications with enhanced capabilities and intelligent insights. 

In the practical part of the session, we will present a business use case for building an LLM-based Question answering system using GPT-3.5-turbo and prompting it with a knowledge graph.

This webinar promises to illuminate how LLM applications can interact intelligently with structured knowledge for semantic understanding and reasoning.

Key Takeaways: