01. Getting Started
You can deploy and run Message Silo services on your own hardware using Docker containers.
docker run -d --name some-silo -p 5000:8080 messagesilo/messagesilo:latestOnce the container is running, the UI will be accessible at: http://localhost:5000/
Message Silo supports data persistence to the database for entities, ensuring that data remains accessible even after a possible restart. MongoDB is used for this purpose to provide robust and reliable data storage.
- Create the following docker-compose file
version: '3.8'
services:
messagesilo:
image: messagesilo/messagesilo
ports:
- "5000:8080"
environment:
DATABASE_CONNECTION_STRING: "mongodb://database:27017" # MongoDB connection string (You can use Atlas instead).
DATABASE_NAME: "messagesilo-local" # The name of the MongoDB database what Message Silo uses.
AI_API_KEY: "" # (Optional) OpenAI API key (if you would like to use AI type enricher entity).
AI_MODEL: "" # (Optional) OpenAI Model name (default: gpt-4o).
depends_on:
- database
database:
image: mongo:6-jammy
ports:
- "27017:27017"
volumes:
- ~/mongo/data:/data/db- Start Message Silo services
docker-compse upMessage Silo comes with a dedicated CLI tool called siloctl.
- Download the version corresponding to your OS into a folder.
| OS | Link |
|---|---|
| Windows | Download |
| Linux | Download |
| MacOS | Download |
-
Add the folder where
siloctldownloaded into the PATH environment variable. -
Ensure
siloctlis working.
siloctl --versionContinue learning about Message Silo & siloctl in the next section: Entities & Concepts