Sydney Data Eng meetup, Graph Edition

Hey all, please join us for our November Sydney Data Eng meetup. 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 Neo4j for the catering, we are looking for a venue host! 🎉

🏠 Location: Airtree Ventures
🍕 Catering: Neo4j 😊
💬 Join our Slack Group here: Data Engineers Slack Channel

Schedule:
- 5.30pm: Doors Open
- 6.00pm: Announcements and Welcome
- 6.10pm: 1st Talk
- 6.40pm: 2nd Talk
- 6.40pm: Networking
- 7.10pm: Doors Close

Speakers:
🎤 George Jayaratnam, Consultant, MCMC Capital Pty Ltd
Talk Title: Knowledge graphs for code...a winning combination
Talk Summary: Understanding complex codebases can be daunting with numerous interconnected functions, variables, and other dependencies. And that’s even before we get to the data layer. In this talk, we explore how knowledge graphs can offer a powerful way to visualize, navigate, and comprehend unfamiliar codebases more efficiently. Very much in line with the mantra of grounding LLMs with your data (graphRAG), the modular approach taken should enable developers to pick and choose which parts make the most sense given their use case and constraints. Topics covered include knowledge graph basics, a codebase teardown, and time permitting, working with unstructured data (text).
Speaker Bio: George Jayaratnam is an independent consultant working predominantly in the field of quantitative risk management. As someone who often walks up and down the stack, you will also find him in the world of data engineering and application development.

🎤 Jeremy Caine, Technology Strategy and Solution Leader, IBM
🎤 Erol Gurcinar, Technology Strategy and Solution Leader, IBM
Talk Title: Building Graph RAG with advanced data ingestion and scalable hybrid graph vector store
Talk Summary: Graph retrieval-augmented generation (RAG) integrates multiple data sources producing more accurate results over traditional vector search. With advanced parsing and interpreting of content and metadata into knowledge graphs we can ensure important information is not lost in semantic embeddings.This session will explore the benefits and capabilities of Graph RAG in AI systems. It will walkthrough an implementation of Graph RAG using the Unstructured Platform and the scalable, hybrid graph and vector store Astra DB.
Speaker Bio: Jeremy Caine is a digital transformation leader who creates technology solutions with organisations as a catalyst for business model innovation. He is expert in complex systems integration, architecture, and engineering for building distributed applications and global scale platforms using hybrid cloud, data, and AI technology.
Erol Gurcinar is a technical account leader who is focused on serving strategic clients as a trusted technical advisor and enterprise architect. He is an expert in complex projects and systems integration within the financial services sector. He leverages his deep technical expertise and leadership skills to understand a client's business challenges, define their technology strategy, and then orchestrate the execution of those strategies (topics such as - Infrastructure-as-Code, GenAI, Data Platforms, and Security).

If you'd like to present at future meetups, please submit your talk here!

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