Railway

Deploy Chroma

Persistent vector database for RAG and AI memory with protected access.

Deploy Chroma

Just deployed

/chroma/chroma

Just deployed

Deploy and Host Chroma on Railway

Chroma is an open-source embedding and vector database designed for AI applications, Retrieval-Augmented Generation (RAG), semantic search, document retrieval, and agent memory. This template combines persistent Chroma storage with an API-key authentication proxy, providing a simple and protected vector database endpoint for applications and AI workflows.

About Hosting Chroma

Hosting Chroma on Railway gives you a persistent vector database without requiring PostgreSQL, Redis, object storage, or other supporting database services.

This template separates the deployment into two services. Chroma runs privately inside the Railway network and stores its database on a persistent Railway volume. CaddyAuthProxy is the only publicly exposed service and protects access to Chroma using an API key.

Requests arrive through the authentication proxy, are validated, and are then forwarded to Chroma over Railway private networking. This keeps the underlying Chroma service inaccessible directly from the public internet while still providing a simple HTTP endpoint for applications.

Common Use Cases

  • Retrieval-Augmented Generation (RAG)
  • AI agent memory and knowledge retrieval
  • Semantic and similarity search
  • Document and knowledge-base search
  • Embedding storage and retrieval
  • Lightweight vector search for AI applications

Dependencies for Chroma Hosting

  • Official chromadb/chroma Docker image
  • CaddyAuthProxy for protected public API access
  • Persistent Railway volume mounted at /chroma/chroma

Implementation Details

This template uses the following architecture:

Application / AI Agent
          │
          │ HTTPS + API Key
          ▼
   CaddyAuthProxy :80
          │
          │ Railway Private Network
          ▼
       Chroma :8000
          │
          ▼
   Railway Volume
   /chroma/chroma

Chroma Service

Chroma runs as a private backend service on port:

8000

The service does not require a public Railway domain.

Persistent database storage is mounted at:

/chroma/chroma

Persistence is enabled so collections, embeddings, metadata, and indexes remain available across deployments and container restarts.

Authentication Proxy

CaddyAuthProxy is the public entry point for this template.

The proxy communicates with Chroma through Railway private networking and requires a generated API key before forwarding requests to the database.

Clients can authenticate using either:

Authorization: Bearer YOUR_API_KEY

or:

X-API-Key: YOUR_API_KEY

Only the authentication proxy should receive a public Railway domain.

Public Access

Generate a Railway public domain for the authentication proxy on port 80.

Example:

https://your-chroma.up.railway.app

The public URL behaves as the protected Chroma API endpoint.

For example, the Chroma heartbeat endpoint can be accessed through:

https://your-chroma.up.railway.app/api/v2/heartbeat

with the configured API key.

The proxy also provides an unauthenticated health endpoint at:

https://your-chroma.up.railway.app/health

which can be used to verify that the authentication gateway itself is running.

Chroma vs Similar Vector Databases

FeatureChromaQdrantWeaviateMilvus
Self-hosted deployment
Vector similarity search
REST / HTTP API
Simple local persistence
Single database service
Requires external metadata service
Requires external object storage
Suitable for RAG workloads
Lightweight local development
Protected API in this Railway template

Chroma is particularly useful when you want a lightweight vector database for embeddings, RAG, semantic retrieval, or AI memory without deploying a larger database infrastructure stack.

Compared with Milvus, Chroma requires significantly fewer supporting components. Compared with Qdrant and Weaviate, Chroma focuses on a simpler developer-oriented embedding database model that works well for applications that do not require a more complex distributed vector database architecture.

Getting Started After Deployment

  1. Deploy the Chroma template.
  2. Wait for both Chroma and CaddyAuthProxy to become available.
  3. Generate a public Railway domain for the CaddyAuthProxy service on port 80.
  4. Retrieve the generated API key from the proxy service variables.
  5. Verify the proxy using /health.
  6. Test Chroma using /api/v2/heartbeat with the API key.
  7. Configure your application or AI workflow to use the proxy's public domain as the Chroma endpoint.
  8. Keep the Chroma service itself private inside the Railway project.

Why Deploy Chroma on Railway?

Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.

By deploying Chroma on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.


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