chroma v0.1.0

Chroma — an open-source embedding (vector) database for building AI apps with retrieval: store embeddings and metadata, then run fast similarity search for RAG and semantic search. Deployed as a host-networked Nomad service with a persistent, on-disk store.

nomad-pack run chroma --registry nomploy

…or one line (add registry + run)

curl -fsSL https://packs.nomploy.com/install.sh | sh -s -- chroma

Needs nomad-pack on PATH. The script only adds the nomploy registry and runs this pack.

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1 task http 8000 1 volume image chromadb/chroma:latest tracks :latest image bumped today

Variables 8

values.hcl

Save as values.hcl, edit, then run:

nomad-pack run chroma -f values.hcl --registry nomploy

# The name of the Nomad job.
job_name = "chroma"

# The Nomad namespace to deploy into.
namespace = "default"

# The datacenters to deploy to.
datacenters = ["*"]

# The Chroma container image. Pin a tag in production.
image = "chromadb/chroma:latest"

# Host port for the Chroma HTTP API. The container listens on 8000.
port = 8000

# Named volume for the on-disk vector store (/chroma/chroma). Holds all collections and embeddings.
data_volume = "chroma_data"

# Placement constraints. Pin to the node holding the volume. On a nomploy cluster: attribute = "$${meta.nomploy_control_plane}", operator = "=", value = "true".
constraints = []

# Resources for the Chroma task. Large collections need more memory.
resources = {
    cpu    = 500
    memory = 512
  }

Name	Type	Default	Description
job_name	string	"chroma"	The name of the Nomad job.
namespace	string	"default"	The Nomad namespace to deploy into.
datacenters	list	["*"]	The datacenters to deploy to.
image	string	"chromadb/chroma:latest"	The Chroma container image. Pin a tag in production.
port	number	8000	Host port for the Chroma HTTP API. The container listens on 8000.
data_volume	string	"chroma_data"	Named volume for the on-disk vector store (/chroma/chroma). Holds all collections and embeddings.
constraints	list	[]	Placement constraints. Pin to the node holding the volume. On a nomploy cluster: attribute = "$${meta.nomploy_control_plane}", operator = "=", value = "true".
resources	object	{ cpu = 500 memory = 512 }	Resources for the Chroma task. Large collections need more memory.

Back up this pack

This pack stores data in one Docker named volume: chroma_data

restic

# Run on the node hosting this pack. Point restic at your repo first:
#   export RESTIC_REPOSITORY="s3:https://<account>.r2.cloudflarestorage.com/<bucket>"
#   export RESTIC_PASSWORD="<repo-password>"
#   export AWS_ACCESS_KEY_ID=<key>  AWS_SECRET_ACCESS_KEY=<secret>
restic backup \
  /var/lib/docker/volumes/chroma_data/_data

rclone (sync to S3/R2)

rclone sync /var/lib/docker/volumes/chroma_data/_data backup:<bucket>/chroma_data

Paths assume the default Docker volume location (/var/lib/docker/volumes). Restore by stopping the job, restoring files into the same volume, and re-running the pack.

Readme

chroma

Chroma — an open-source embedding (vector) database for AI apps. Store embeddings with metadata and run fast similarity search — the retrieval half of a RAG or semantic-search stack. Simple HTTP API with official Python and JavaScript clients.

Single host-networked Nomad service with a persistent on-disk store.

Deploy

nomad-pack registry add nomploy https://github.com/Nomploy/nomad-packs
nomad-pack run chroma --registry=nomploy

Configure

Variable	Default	Description
`port`	`8000`	HTTP API port. The container listens on 8000.
`data_volume`	`chroma_data`	`/chroma/chroma` — collections and embeddings (persistent).
`image`	`chromadb/chroma:latest`	Container image. Pin a tag in production.
`resources`	`{ cpu = 500, memory = 512 }`	Task resources. Bump memory for large collections.

Connect from Python with chromadb.HttpClient(host="<node-ip>", port=8000). Pairs with the ollama and open-webui packs for a fully local RAG stack. The API is unauthenticated by default — keep it on an internal network, or enable token auth via the CHROMA_SERVER_AUTHN_CREDENTIALS / CHROMA_SERVER_AUTHN_PROVIDER env vars. Pin the job to the node holding the volume with constraints.