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
- Access to all courses and bootcamps
- Video lessons with closed captions
- Interactive quizzes and assessments
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Hands-On Labs
- Browser-based cloud labs
- Pre-configured VMs ready to use
- Playgrounds for experiments
- Multi-VM realistic scenarios
AWS Integration
- Managed AWS Account included
- Pre-configured environments
- Real-world cloud scenarios
Support & Community
- Priority support
- Active community forum
No Setup Required
- Everything runs in your browser
- No software installation needed
- Automatic environment provisioning
- Works on any device
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