Files
compose-anything/src/dify
Sun-ZhenXing 3c609b5989 feat: add more
2025-10-06 21:48:39 +08:00
..
2025-10-06 21:48:39 +08:00
2025-10-06 21:48:39 +08:00
2025-10-06 21:48:39 +08:00
2025-10-06 21:48:39 +08:00

Dify

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This service deploys Dify, an LLM app development platform that combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more.

Services

  • dify-api: API service for Dify
  • dify-worker: Background worker for async tasks
  • dify-web: Web frontend interface
  • dify-db: PostgreSQL database
  • dify-redis: Redis cache
  • dify-weaviate: Weaviate vector database (optional profile)

Environment Variables

Variable Name Description Default Value
DIFY_VERSION Dify image version 0.18.2
POSTGRES_USER PostgreSQL username dify
POSTGRES_PASSWORD PostgreSQL password difypass
POSTGRES_DB PostgreSQL database name dify
REDIS_PASSWORD Redis password (empty for no auth) ""
SECRET_KEY Secret key for encryption (auto)
LOG_LEVEL Log level INFO
DIFY_PORT_OVERRIDE Host port mapping for web interface 3000
STORAGE_TYPE Storage type (local, s3, azure-blob, etc.) local
VECTOR_STORE Vector store type (weaviate, milvus, etc.) weaviate
WEAVIATE_VERSION Weaviate version (if using weaviate) 1.28.12

Please modify the .env file as needed for your use case.

Volumes

  • dify_storage: Storage for uploaded files and generated content
  • dify_db_data: PostgreSQL data
  • dify_redis_data: Redis persistence data
  • dify_weaviate_data: Weaviate vector database data

Usage

Start Dify with Weaviate

docker compose --profile weaviate up -d

Start Dify without Vector Database

docker compose up -d

Access

First Time Setup

  1. Open http://localhost:3000
  2. Create an admin account
  3. Configure your LLM API keys (OpenAI, Azure OpenAI, Anthropic, etc.)
  4. Start creating your AI applications

Notes

  • First startup may take a few minutes for database initialization
  • Change SECRET_KEY in production for security
  • For production deployment, consider using external PostgreSQL and Redis
  • Supports multiple LLM providers: OpenAI, Azure OpenAI, Anthropic, Google, local models via Ollama, etc.
  • Vector database is optional but recommended for RAG capabilities

Security

  • Change default passwords in production
  • Use strong SECRET_KEY
  • Enable authentication on Redis in production
  • Consider using TLS for API connections in production

License

Dify is licensed under Apache License 2.0. See Dify GitHub for more information.