|
Stop exporting data to external vector stores.
Modern semantic search does not have to require a separate vector database. In this live webinar, you will see how to integrate Vertex AI and Cloud SQL vector indexes directly into your existing MySQL workflow.
This session will explore how to bring embeddings and vector search capabilities into Cloud SQL for MySQL, enabling semantic queries and generative AI use cases without introducing additional infrastructure.
You will learn how to:
- Generate and manage embeddings using Vertex AI
- Store and index vectors within Cloud SQL for MySQL
- Execute semantic similarity queries alongside transactional workloads
- Reduce architectural complexity by keeping data and vector search in the same environment
- Support generative AI use cases on top of your existing MySQL data
If you are a data architect, database engineer, developer, or platform leader exploring production-ready AI search, this webinar provides a practical look at how to extend your current MySQL environment to support semantic search.
Reserve your seat today.
Don't miss this live event on Tuesday, March 24, 11 AM PT / 2 PM ET.
Register Now to attend the webinar Why Your Existing MySQL Instance Is Ready for Semantic Search.
| SPEAKERS |
|
|
|
MODERATOR |
 |
 |
 |
Isabella Lubin
Group Product Manager
Google Cloud |
Shu Zhou
Engineer
Google Cloud |
Stephen Faig
Research Director
Unisphere Research and DBTA |
|