# How do you integrate Gemma 4 with Zilliz Cloud?

Source: https://zilliz.com/ai-faq/how-do-you-integrate-gemma-4-with-zilliz-cloud
Author: zilliz

Generate embeddings with Gemma 4, insert vectors into Zilliz Cloud collections, then query using managed semantic search APIs.

The integration workflow is straightforward:

**1. Generate embeddings**: Use Gemma 4 to embed documents and queries into vectors. Specify your target embedding dimension and choose extraction layer based on quality/speed requirements.

**2. Connect to Zilliz Cloud**: Create a Zilliz Cloud project and collection with appropriate schema matching Gemma 4's embedding dimensions. Zilliz Cloud handles all infrastructure, replication, and backups automatically.

**3. Insert vectors**: Batch insert embeddings into Zilliz Cloud along with document references and metadata. Zilliz Cloud automatically indexes vectors for efficient retrieval and replicates across multiple nodes for high availability.

**4. Execute semantic search**: Query Zilliz Cloud with a query embedding from Gemma 4. Zilliz Cloud returns the most similar vectors (and associated documents) instantly, even across billions of vectors.

**5. Optional filtering**: Combine vector similarity with metadata filters to narrow results by document type, date, language, or custom attributes.

Zilliz Cloud eliminates operational burden: no infrastructure provisioning, no index tuning, no backup management, no scaling decisions. Focus on generating quality embeddings; Zilliz Cloud ensures they're stored, searched, and maintained reliably with 99.9% uptime.

**Related Resources**
- [Zilliz Cloud managed vector database](https://zilliz.com/what-is-zilliz-cloud)
- [Retrieval-Augmented Generation](https://zilliz.com/learn/Retrieval-Augmented-Generation)
- [Start free on Zilliz Cloud](https://cloud.zilliz.com/signup)