Pipeshub AI

Pipeshub AI: AI knowledge hub, connect data sources for enterprise RAG

Deploy from this page: TryDirect provisions the server, starts the services, generates the deployment credentials and wires the 5 containers together. Nothing is shared between deployments and no secrets ship with the stack.

What's included

Service	Port	Description
app	3000 (public)	pipeshubai/pipeshub-ai:0.10.0
mongodb	internal	Database
redis	internal	Cache
qdrant	internal	Vector database
neo4j	internal	neo4j:5.26.0

What you configure

• Domain (commonDomain): the hostname the stack is served on
• AWS_REGION: you provide this in the deploy form
• Defaults provided: ALLOWED_ORIGINS, FRONTEND_PUBLIC_URL, TELEMETRY_COLLECTION_FLAG, MONGO_INITDB_ROOT_USERNAME, NEO4J_AUTH ship prefilled and can be adjusted in the deploy form

All 15 credentials (passwords and keys) are generated per deployment and stored in your project's secret store.

Requirements

• A cloud account connected to TryDirect (the deploy form provisions

the server) or one of your own servers

• A server that fits 5 containers (4 GB RAM or more recommended)
• A DNS record for the domain you set in the deploy form

Alternative: deploy with the Stacker CLI

Everything above also works from the command line:

git clone https://github.com/trydirect/awesome-selfhosted-stacker.git
cd awesome-selfhosted-stacker/stacker-projects/pipeshub-ai

# Generate secrets
cp .env.example .env
./scripts/generate-secrets.sh

# Deploy
stacker deploy