There are cases when you can’t use Google Cloud services but still want to get all benefits of AlloyDB integration with AI and serve a local model directly to the database. In such cases, AlloyDB Omni deployed in a Kubernetes cluster can be great solution, serving for edge cases and keeping all communications between database and AI model local.

A meetup for DBAs, data engineers, and database architects to share insights, troubleshoot issues, and exchange proven strategies for cloud database management. Explore how relational databases can drive smarter AI by enriching prompts for generation. Learn from real-world experiences and expand your professional network!

Getting started with Vector Embeddings with AlloyDB AI. In this codelab you will learn how to use AlloyDB AI by combining vector search with Vertex AI embeddings. We will go step by step loading data to the new created AlloyDB database, enable necesary extensions and testing vector search in combination with other data passing results to the Gen AI text model to make the answer relevat and combined with real data from the database.

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There are cases when you can’t use Google Cloud services but still want to get all benefits of AlloyDB integration with AI and serve a local model directly to the database. In such cases, AlloyDB Omni deployed in a Kubernetes cluster can be great solution, serving for edge cases and keeping all communications between database and AI model local.