Data Storage for Generative AI (Vector DB, Distributed SQL, Graph DB)

*** RSVP HERE (Due to room capacity and building security, it is required to pre-register at the link. )

This month, we team up with SMUB, Risingwave, PingCAP, and Neo4j to host the exciting meetup on "Data Storage for Generative AI". Dive into discussions surrounding the intricacies of managing and storing data effectively to fuel the advancements in generative AI, such as vector database, distributed SQL and Graph database, etc..
Whether you're a seasoned professional or just beginning your journey in AI, this event promises valuable insights and networking opportunities.

Tech Talk: Building GenAI Applications with Vector DB
Speaker: Wink Yao (PingCAP)
Abstract: In this talk, I will discuss the native vector storage implementation in the MySQL world, building AI applications and best practices with vector search.

Tech Talk: Ground your LLM with a Graph Database
Speaker: Xavier Pilas (Neo4j)
Abstract: This Tech Talk 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 data generation and data query with a Knowledge Graph at the center. The Graph Database connects documents and information to give to the LLM more context for creating the best answer.

Speakers/Topics:
Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Partners/Sponsors:
We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at our meetups, receive prominent recognition as sponsors, but also gain exposure to our extensive membership base of 3,000+ AI developers in Singapore or 350K+ worldwide.

Community on Slack/Discord

• Event chat: chat and connect with speakers and attendees
• Sharing blogs, events, job openings, projects collaborations
• Join Slack/Discord (link is at the bottom of the page)