How to deploy Dify privately? What are the advantages and considerations of private deployment?

Dify supports private deployment, which is important for enterprises requiring data security and enterprise-level control. Deployment methods include:

1. Docker Deployment (Recommended)

   • Quick deployment using Docker Compose
   • Includes all necessary service components
   • Suitable for quick testing and small-scale use

   Deployment steps:

   bash
   git clone https://github.com/langgenius/dify.git
   cd dify/docker
   cp .env.example .env
   docker compose up -d

2. Source Code Deployment

   • Compile and deploy from source code
   • More flexible customization
   • Suitable for scenarios requiring deep customization

3. Kubernetes Deployment

   • Deploy using Helm Chart
   • Supports high availability and auto-scaling
   • Suitable for large-scale production environments

Advantages of private deployment:

• Data is completely localized, meeting data security requirements
• Can use local LLMs, reducing costs
• No network restrictions, faster access
• Can be deeply customized and extended
• Not limited by third-party services

Deployment considerations:

• Hardware requirements: At least 4GB RAM, recommended 8GB or more
• Need to configure vector database (e.g., Milvus, Weaviate)
• Need to configure database (PostgreSQL)
• Need to configure Redis cache
• Need to configure object storage (e.g., MinIO)

Candidates should understand Dify's private deployment methods and how to choose the appropriate deployment solution for different scenarios.