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# Dify
[English](./README.md) | [中文](./README.zh.md)
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
```bash
docker compose --profile weaviate up -d
```
### Start Dify without Vector Database
```bash
docker compose up -d
```
### Access
- Web Interface: <http://localhost:3000>
- API Docs: <http://localhost:5001/docs>
### 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](https://github.com/langgenius/dify) for more information.