Neo4j Meetup: Empowering Data Analytics with Graph Databases

Join us at the next Graph Database Singapore meetup as we dive into the world of data visualization with graph databases! Building on the success of our previous events like "Neo4j Live: Demystifying the Mahabharata Chatbot with GraphRAG" and "GraphRAG Unleashed: Supercharging LLMs with Knowledge Graphs," this session will explore the power of Neo4j in enhancing data analytics and visualization.

The agenda of the evening would be:
- 6pm: doors open
- 6.30pm: announcements and welcome
- 6.40pm: Speaker's Talk
- 7:40pm: Networking
- 8.10pm: doors close

Our expert speakers will share insights on utilizing Neo4j for creating stunning visual representations of complex data sets, showcasing practical applications in various industries. Whether you're a seasoned developer or a data enthusiast, this event is perfect for gaining a deeper understanding of the potential that graph databases offer in the realm of data visualization. Don't miss this opportunity to network with like-minded individuals, learn from industry experts, and expand your knowledge on the latest trends in the world of Big Data and Open Source technologies.

Speaker:
🎤 Maruthi Prithivirajan Lokananthan, Solutions Architect, ClickHouse
Topic Talk: Supercharging LLMs with Knowledge Graphs and GraphRAG
Description: Large Language Models (LLMs) are powerful but prone to hallucinations and lack domain-specific knowledge. This talk explores how Knowledge Graphs (KGs) and GraphRAG can enhance LLMs with factual accuracy, structured reasoning, and better retrieval capabilities. We’ll dive into GraphRAG—a next-gen approach that integrates graph-based retrieval with traditional RAG techniques—unlocking multi-hop reasoning, contextual understanding, and dynamic knowledge augmentation. Expect a hands-on breakdown of how KGs supercharge LLMs, real-world use cases, and a demo showcasing LLM-driven insights with graph-powered retrieval.
Designation/Role and Company: Solutions Architect, ClickHouse
Speaker Bio: Maruthi is a seasoned technology leader with over 15 years of experience designing and developing data solutions for Fortune 500 companies. His expertise lies in addressing complex business challenges through innovative data strategies. Currently, Maruthi is the Founder of Typeless, an early-stage startup at the forefront of Generative AI innovation. Typeless focuses on two key areas:
- Developing cutting-edge Generative AI SaaS solutions
- Providing bespoke consulting services to enterprises to facilitate the adoption of Graph and Generative AI technologies
With his extensive background in data solutions and his current work in emerging AI technologies, Maruthi brings a unique perspective on the intersection of business needs and technological advancements.