Siddhant Agarwal
Developer Relations Lead APAC at Neo4j
I am currently leading Developer Communities for APAC @ Neo4j. Previously I have worked with Open Financial Technologies as "Developer Relations Lead '' where I built India's first developer community around Fintech/Embedded Finance. Prior to that I had worked with the Google Developer Relations team and had led the Developer Student Clubs program, TensorFlow User Groups, Google Developer Groups, and Google Developer Experts program in India. I have also designed and executed the initiative “Build for Digital India” in 2019 launched in collaboration with the Ministry of Electronics & Information Technology, Govt. of India which witnessed 7K+ students participating and building solutions that “Solve for India”. A design thinker at heart, he loves working with startups and helping them scale in UX and improve their designs. I am one of ACM’s Distinguished Speakers among 200+ speakers worldwide and 20+ in India. With over 8 years of industry experience, I have literally spent my entire career in building, scaling and growing communities in India and have found my passion in launching ed-tech initiatives, design innovation, growing startup ecosystem and building for the next billion users. For my contributions in community building, I was also nominated as one of the finalists of CMX Community Industry Awards 2021 for "Community Professional of the Year for a Developer Relations Community" and "Community Professional of the Year" categories. Being an avid public speaker, I have spoken at 1K+ national and international forums impacting 300K students/developers/individuals.
Sessions
GraphRAG: Powering Up LLMs with Knowledge Graphs
In the era of big data, large language models (LLMs) are becoming increasingly important for tasks like question answering, document analysis, and chatbot development. However, traditional LLMs can often struggle with factual accuracy, reasoning, and handling complex information. This talk introduces GraphRAG, a novel technique that leverages the power of knowledge graphs to empower LLMs. We’ll delve into the limitations of traditional LLMs and vector-only approach of RAG and explore how GraphRAG bridges the gap. GraphRAG equips LLMs with a deeper understanding of the world by utilizing enterprise data, boosting their accuracy, reasoning abilities, and handling of complex information. This talk will explore the exciting world of GraphRAG, showcasing its potential to revolutionize various fields. We will also discuss real-world applications and case studies using SEC EDGAR dataset to illustrate the benefits of GraphRAG for practitioners in comparison to a vector-only approach.
Starts: 11:10 AM
Ends: 11:40 AM