The ChromaDB Helm chart provides an easy way to deploy ChromaDB, a high-performance embedding database designed for AI applications. This chart allows you to manage ChromaDB instances on Kubernetes with customizable resource allocation, persistence, and scaling options.


Add Helm Repository

Before deploying the ChromaDB chart, add the Helm repository to your local setup:


For more details, refer to the Helm Repository Documentation.


Install Helm Chart

To install the ChromaDB Helm chart, use the following command:

helm install [RELEASE_NAME]

Replace [RELEASE_NAME] with your desired release name. For example:

To customize configurations, provide a values.yaml file or override values via the command line.

See Helm Install Documentation for more information.


Uninstall Helm Chart

To remove the ChromaDB deployment and all associated Kubernetes resources, use the following command:

helm uninstall [RELEASE_NAME]

For example:

See Helm Uninstall Documentation for additional details.


Configuration

The ChromaDB Helm chart includes several configuration options to tailor the deployment to your needs. Below is a summary of the key configurations:

Input

Type

Description

Default

image

string

Docker image and tag for the ChromaDB container.

ghcr.io/chroma-core/chroma:latest

resources.requests.memory

string

Minimum memory resources required by the ChromaDB container.

"1Gi"

resources.requests.cpu

string

Minimum CPU resources required by the ChromaDB container.

"100m"

resources.limits.memory

string

Maximum memory resources the ChromaDB container can use.

"2Gi"

resources.limits.cpu

string

Maximum CPU resources the ChromaDB container can use.

"1"

diskSize

string

Size of the persistent volume for storing ChromaDB data.

"10Gi"

You can override these values in a values.yaml file or via the command line during installation.


Example values.yaml File



To use this configuration, save it to a values.yaml file and apply it during installation:


Features

  • Scalable Architecture: Configure resources and scaling options to optimize performance for embedding-intensive workloads.

  • Persistent Storage: Keep ChromaDB data intact across pod restarts with configurable persistent volumes.

  • Customizable Resource Allocation: Tailor CPU and memory resources to match workload requirements.

  • Easy Deployment: Simplified Helm chart for rapid deployment of ChromaDB in Kubernetes environments.


Contributing

We welcome contributions to improve this Helm chart. Please refer to the CONTRIBUTING.md file for contribution guidelines.


Code of Conduct

To maintain a healthy and collaborative community, please adhere to our Code of Conduct.


License

This project is licensed under the LICENSE. Please review it for terms of use.

Prerequisites

Kubernetes 1.19+

Helm 3+

Build By

Zop.dev

Category

See Helm Install Documentation for more information.

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