Building Knowledge Graphs using LLM

This session aims to provide an overview on Knowledge graphs(KG), methods to harness LLMs for efficient KG construction, enrichment, and querying. We will delve into techniques for leveraging LLMs to extract entities and relationships, populate KGs, and enhance their quality and understand how this combination helps with information processing, enabling complex query handling and knowledge discovery. Gain practical insights into combining KG with LLMs to solve Production use cases with structured and unstructured data.

The Why: There is a lot of traction in the industry on GraphRAG and Knowledge graphs. This session helps give an overview so that you can make informed decisions in implementing knowledge graphs.

Key Takeaways:

• Benefits of integrating Knowledge Graphs with LLMs
• Process for building and enriching Knowledge Graphs using LLMs
• Real-world applications and future directions

This session is for... you if you would like to get a high level overview on KG and have fun learning this session is for you. This is not a hands-on session.  Open to Product , Business , Data Scientists , Engineering