Announcing August Meetup! We are partnering with DataScienceSG community this time and we will talk about Graph-Powered Retrieval Augmented Generation! Interested? Check out the details below:
Agenda
As we are planning for refreshments and to reduce food wastage, please only RSVP if you can make it.
6.30pm – 7.00pm: Registration, and networking (May have refreshments)
7.00pm – 7.05pm: Opening from DataScience SG
7.05pm – 7.50pm: Graph-powered Retrieval Augmented Generation (GraphRAG)
7.50pm – 8.10pm: Q&A
7.50pm – 8.30pm: Networking
Synopsis
Graph-powered Retrieval Augmented Generation (GraphRAG)
Generative AI and LLM have changed the world but there are still many challenges (hallucinations, auditability…) to be solved. This session will show you how you can make the most of LLMs by grounding them with a Graph Database. The demo will show how we use LLM for easy data loading and data query with a Knowledge Graph at its heart. The Graph Database connects documents and information to give to the LLM more context for creating the best answer. I hope that will give you ideas on your next projects.
Speaker Bio(s):
Xavier Pilas, Sr. Sales Engineer @ Neo4j
I’m Xavier, french, located in Singapore for more than 10 years after working in Europe and in the USA, always in the Finance industry.
Software engineer by heart for a long time, from my first text-scrolling Basic program to learning Python for Data Science on Graph, I left development in the Banking industry to move to advocating and promoting Neo4j and Graph Databases.
Graphs are an amazing technology with a lot to offer. It needs a change of mindset, it is worth the effort, it solves complex business challenges very easily and it integrates with GenAI to get the best of both worlds.
Feel free to reach out to talk to me about your use cases and what you want to achieve with Graphs and GenAI.
https://www.linkedin.com/in/xavierpilas/