# documentation: https://qdrant.tech/documentation/
# slogan: Qdrant is a vector similarity search engine that provides a production-ready service with a convenient API to store, search, and manage points (i.e. vectors) with an additional payload.
# tags: ai, vector-database, semantic-search, machine-learning, bm25, embeddings, llm
# logo: svgs/qdrant.png
# port: 6333

services:
  qdrant:
    image: "qdrant/qdrant:latest"
    environment:
      - SERVICE_FQDN_QDRANT_6333
      - QDRANT__SERVICE__API_KEY=${SERVICE_PASSWORD_QDRANTAPIKEY}
    volumes:
      - "qdrant-storage:/qdrant/storage"
    healthcheck:
      test:
        - CMD-SHELL
        - bash -c ':> /dev/tcp/127.0.0.1/6333' || exit 1
      interval: 5s
      timeout: 5s
      retries: 3