Graph Database Melbourne Meetup, May Edition w/ DataEngBytes Melbourne

Hey all, please join us for our May Edition meetup in collaboration with DataEngBytes. Join us for an engaging session filled with exciting discussions and networking opportunities.

Don't miss out—RSVP to secure your spot. A big shout-out to Melbourne's top-rated coworking space Inspire9 for providing us with the venue!

🏠 Location: Inspire9, Level 1/41-43 Stewart St, Richmond VIC 3121, Australia

Schedule:
- 5:30pm: Doors Open
- 6.00pm: Announcements and Welcome
- 6.10pm: 1st Talk
- 6.40pm: 2nd Talk
- 7:10pm: Networking
- 7.40pm: Doors Close

Speakers:
🎤 Siddhant Agarwal, Neo4j
Talk Title: GraphRAG: Powering Up LLMs with Knowledge Graphs
Talk Summary: This talk explores GraphRAG, a technique that leverages knowledge graphs to enhance the capabilities of Large Language Models (LLMs), improving their accuracy, reasoning, and ability to handle complex information. We'll discuss the limitations of traditional LLMs and how GraphRAG addresses them, along with its potential applications in various domains.
Speaker Bio: Sid Agarwal leads Developer Communities for APAC at Neo4j, with a track record of pioneering and scaling impactful developer initiatives. Formerly, he led India's first fintech community at Open Financial Technologies and managed developer programs at Google, including Developer Student Clubs and TensorFlow User Groups. Sid collaborated with the Indian government on 'Build for Digital India,' engaging 7,000+ students. He's passionate about design thinking, mentoring startups on UX, and is recognised as an ACM Distinguished Speaker. Sid was a finalist for the CMX Community Industry Awards in 2021 and has spoken at over 1,000 forums globally, impacting 300K+ individuals.

🎤 Thomas Creuillenet, Data Engineer at Cloud Shuttle
Talk Title: Bringing DataEngBytes into the GenAI era with a Knowledge Graph
Talk Summary: Generative AI has taken the world by storm and RAG has become super important to contextualise them. There’s two main choices when it comes to RAG:
1. Vector store - probabilistic in nature
2.Knowledge graph - deterministic in nature
In this talk, Cloud Shuttle, the organising company behind DataEngBytes, showcases a web app that it has built on the dataengbytes website to showcase a chatbot it has built leveraging langchain, a knowledge graph on neo4j, and Amazon Bedrock.
Speaker Bio: Thomas is Data Engineer at Cloud Shuttle, he is helping customers to bring the best of their data infrastructure. With a background in industrial engineering and working in Toulouse, France, he has built his first data pipelines for the aviation industry using Spark. He has been working as Data and Software engineer at Capgemini where he has extensively experienced Agile development, DevOps and aircraft data processing on the AWS cloud. He is enjoying continuing his journey into the world of data engineering at Cloud Shuttle.

Interested to speak at this or future meetups? Fill this form: https://dev.neo4j.com/submit-your-talk

Remember to bring along some great questions! See you all there...