Google Cloud Platform

Launch a Weaviate cluster from the Google Cloud Platform (GCP) marketplace. Weaviate integrates with Google Gemini API and Google Vertex AI.

GCP and Weaviate

Weaviate integrates with GCP infrastructure and services like Google Gemini API and Vertex AI.

The resources are broken into two categories:

Hands on Learning: Build your technical understanding with end-to-end tutorials.
Read and Listen: Develop your conceptual understanding of these technologies.

Topic	Description	Resource
Build a multimodal application using Gemini Flash	This notebook shows you how to use Weaviate and Gemini Flash to build a multimodal application.	Notebook
BigQuery and Weaviate	Sync data between BigQuery and Weaviate using DSPy.	Notebook
Semantic Search with Gemini Ultra	This notebook shows you how to use Weaviate and Gemini Ultra.	Notebook
Weaviate Query Agent with Gemini API	Use the Query Agent as a tool with the Gemini API.	Notebook
Weaviate Query Agent with Vertex AI	Use the Query Agent as a tool with Vertex AI.	Notebook
Deploy a Weaviate vector database on GKE	This tutorial shows you how to deploy a Weaviate vector database cluster on Google Kubernetes Engine (GKE).	Guide
Personalized Product Descriptions with Weaviate and the Gemini API	Learn how to embed your data, run a semantic search, make a generative call to the Gemini API and store the output back in your database.	Notebook
Similarity search with Gemma Embeddings and Weaviate	This tutorial shows you, how to use the gemma-3-300m-embedding in Weaviate.	Notebook
Local RAG with Gemma 3 270M and Weaviate	This notebook walks you through building a local RAG pipeline using Gemma 3 270M with Ollama and Weaviate.	Notebook

Topic	Description	Resource
Weaviate on Vertex AI RAG Engine: Building RAG Applications on Google Cloud	Learn how to build RAG Applications on Google Cloud using the new RAG Engine on Vertex AI.	Blog