feat: 添加 Dockerfile 和 docker-compose.yml 部署方案

This commit is contained in:
2026-07-11 19:47:39 +08:00
parent 9784f5f436
commit 1df4793acb
3 changed files with 120 additions and 0 deletions
+66
View File
@@ -0,0 +1,66 @@
# docker-compose.yml — md-vector-db 本地开发与生产部署
version: "3.8"
services:
md-vector-db:
build:
context: .
dockerfile: Dockerfile
image: md-vector-db:latest
container_name: md-vector-db
restart: unless-stopped
ports:
- "${MD_VECTOR_PORT:-8000}:8000"
volumes:
# 持久化 ChromaDB 数据
- ./data:/app/data
# 挂载配置文件
- ./config.yaml:/app/config.yaml:ro
# 挂载待入库文档目录
- ${MD_VECTOR_DOCS_DIR:-./md_docs}:/app/md_docs:ro
environment:
- MD_VECTOR_CONFIG=/app/config.yaml
- MD_VECTOR_DB_DATA_DIR=/app/data
- MD_VECTOR_API_KEY=${MD_VECTOR_API_KEY:-}
- EMBED_API_KEY=${EMBED_API_KEY:-}
- CORS_ORIGINS=${CORS_ORIGINS:-http://localhost:3000}
- MAX_REQUEST_BODY_SIZE=${MAX_REQUEST_BODY_SIZE:-10485760}
env_file:
- .env
healthcheck:
test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8000/api/v1/health')"]
interval: 30s
timeout: 10s
retries: 3
start_period: 60s
# 可选:GPU 版本(需 nvidia-container-toolkit
md-vector-db-gpu:
profiles: ["gpu"]
build:
context: .
dockerfile: Dockerfile
image: md-vector-db:latest
container_name: md-vector-db-gpu
restart: unless-stopped
ports:
- "${MD_VECTOR_PORT:-8000}:8000"
volumes:
- ./data:/app/data
- ./config.yaml:/app/config.yaml:ro
- ${MD_VECTOR_DOCS_DIR:-./md_docs}:/app/md_docs:ro
environment:
- MD_VECTOR_CONFIG=/app/config.yaml
- MD_VECTOR_DB_DATA_DIR=/app/data
- MD_VECTOR_API_KEY=${MD_VECTOR_API_KEY:-}
- EMBED_API_KEY=${EMBED_API_KEY:-}
- CORS_ORIGINS=${CORS_ORIGINS:-http://localhost:3000}
env_file:
- .env
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: 1
capabilities: [gpu]