graphiti/server

graph-service

Graph service is a fast api server implementing the graphiti package.

Container Releases

The FastAPI server container is automatically built and published to Docker Hub when a new graphiti-core version is released to PyPI.

Image: zepai/graphiti

Available tags:

• latest - Latest stable release
• 0.22.1 - Specific version (matches graphiti-core version)

Platforms: linux/amd64, linux/arm64

The automated release workflow:

1. Triggers when graphiti-core PyPI release completes
2. Waits for PyPI package availability
3. Builds multi-platform Docker image
4. Tags with version number and latest
5. Pushes to Docker Hub

Only stable releases are built automatically (pre-release versions are skipped).

Running Instructions

1. Ensure you have Docker and Docker Compose installed on your system.

2. Add zepai/graphiti:latest to your service setup

3. Make sure to pass the following environment variables to the service

   OPENAI_API_KEY=your_openai_api_key
   NEO4J_USER=your_neo4j_user
   NEO4J_PASSWORD=your_neo4j_password
   NEO4J_PORT=your_neo4j_port
   

4. This service depends on having access to a neo4j instance, you may wish to add a neo4j image to your service setup as well. Or you may wish to use neo4j cloud or a desktop version if running this locally.

   An example of docker compose setup may look like this:

      version: '3.8'
   
      services:
      graph:
         image: zepai/graphiti:latest
         ports:
            - "8000:8000"
   
         environment:
            - OPENAI_API_KEY=${OPENAI_API_KEY}
            - NEO4J_URI=bolt://neo4j:${NEO4J_PORT}
            - NEO4J_USER=${NEO4J_USER}
            - NEO4J_PASSWORD=${NEO4J_PASSWORD}
      neo4j:
         image: neo4j:5.22.0
   
         ports:
            - "7474:7474"  # HTTP
            - "${NEO4J_PORT}:${NEO4J_PORT}"  # Bolt
         volumes:
            - neo4j_data:/data
         environment:
            - NEO4J_AUTH=${NEO4J_USER}/${NEO4J_PASSWORD}
   
      volumes:
      neo4j_data:
   

5. Once you start the service, it will be available at http://localhost:8000 (or the port you have specified in the docker compose file).

6. You may access the swagger docs at http://localhost:8000/docs. You may also access redocs at http://localhost:8000/redoc.

7. You may also access the neo4j browser at http://localhost:7474 (the port depends on the neo4j instance you are using).