标签：#vectordb

Qdrant is an open-source vector database for AI applications, optimised for similarity search over high-dimensional embeddings, with a REST/gRPC API, payload filtering, and a built-in dashboard. This guide deploys Qdrant using Docker Compose with Traefik handling automatic HTTPS, API-key authentication, and a sample collection that runs a similarity search. By the end, you'll have Qdrant serving vector search securely at your domain. Set Up the Directory Structure 1. Create the project directory: $ mkdir -p ~/qdrant/data $ cd ~/qdrant 2. Generate a strong API key: $ openssl rand -hex 32 Save the value for the .env file. 3. Create the environment file: $ nano .env DOMAIN = qdrant.example.com LETSENCRYPT_EMAIL = admin@example.com QDRANT_API_KEY = PASTE_GENERATED_KEY_HERE Deploy with Docker Compose 1. Create the Compose manifest: $ nano docker-compose.yaml services : traefik : image : traefik:v3.6 container_name : traefik command : - " --providers.docker=true" - " --providers.docker.exposedbydefault=false" - " --api.dashboard=false" - " --entrypoints.web.address=:80" - " --entrypoints.websecure.address=:443" - " --entrypoints.web.http.redirections.entrypoint.to=websecure" - " --entrypoints.web.http.redirections.entrypoint.scheme=https" - " --certificatesresolvers.letsencrypt.acme.httpchallenge=true" - " --certificatesresolvers.letsencrypt.acme.httpchallenge.entrypoint=web" - " --certificatesresolvers.letsencrypt.acme.email=${LETSENCRYPT_EMAIL}" - " --certificatesresolvers.letsencrypt.acme.storage=/letsencrypt/acme.json" ports : - " 80:80" - " 443:443" volumes : - " ./letsencrypt:/letsencrypt" - " /var/run/docker.sock:/var/run/docker.sock:ro" restart : unless-stopped qdrant : image : qdrant/qdrant:v1.17.1 container_name : qdrant expose : - " 6333" volumes : - " ./data:/qdrant/storage" environment : QDRANT__SERVICE__API_KEY : " ${QDRANT_API_KEY}" labels : - " traefik.enable=true" - " traefik.http.routers.qdrant.rule=Host(`${DOMAIN}`)" - " traefik.http.routers.qdrant.entr