Google Cloud Platform
Overview
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 Gemini API and Vertex AI.
Resources
The resources are broken into categories:
- Hands on Learning: Build your technical understanding with end-to-end tutorials.
- Read and Listen: Develop your conceptual understanding of these technologies.
Hands-on Learning
Build a multimodal application using Gemini Flash
This notebook shows you how to use Weaviate and Gemini Flash to build a multimodal application.
Open →BigQuery and Weaviate
Sync data between BigQuery and Weaviate using DSPy.
Open →Semantic Search with Gemini Ultra
This notebook shows you how to use Weaviate and Gemini Ultra.
Open →Weaviate Query Agent with Gemini API
Use the Query Agent as a tool with the Gemini API.
Open →Weaviate Query Agent with Vertex AI
Use the Query Agent as a tool with Vertex AI.
Open →Deploy a Weaviate vector database on GKE
This tutorial shows you how to deploy a Weaviate vector database cluster on Google Kubernetes Engine (GKE).
Open →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.
Open →Similarity search with Gemma Embeddings and Weaviate
This tutorial shows you, how to use the gemma-3-300m-embedding in Weaviate.
Open →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.
Open →Weaviate ADK Agent
This agent provides natural language interaction with Weaviate, enabling full CRUD operations, vector search, collection management, and more through an intelligent conversational interface.
Open →