This lab is currently in Beta — content may be updated as we refine the material
LABINTERMEDIATE
Deploy Vector Database on Kubernetes
Deploy Chroma vector database on Kubernetes with persistent storage. Configure collections and implement basic similarity search.
60 minutes
ai-infrastructure/rag

Lab Overview
This hands-on lab teaches you to deploy and operate Chroma vector database on Kubernetes.
You'll learn to:
- Deploy Chroma using Helm with persistent storage
- Create collections and verify CRUD operations
- Implement basic similarity search with sample documents
- Configure health checks and resource monitoring
This lab establishes the vector database foundation for your RAG system.
Prerequisites
kubernetes-fundamentals
helm-basics
embeddings-concepts
Technologies Covered
vector-databasechromakuberneteshelmembeddingssemantic-search
Part of a Course
This lab is part of the RAG Architectures and Vector Databases course
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Content & Learning
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- Video lessons with closed captions
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Hands-On Labs
- Browser-based cloud labs
- Pre-configured VMs ready to use
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- Multi-VM realistic scenarios
AWS Integration
- Managed AWS Account included
- Pre-configured environments
- Real-world cloud scenarios
Support & Community
- Priority support
- Active community forum
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- No software installation needed
- Automatic environment provisioning
- Works on any device
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