compose.yaml

# Copyright (C) 2025 Advanced Micro Devices, Inc.
# Copyright (C) 2025 Intel Corporation
# SPDX-License-Identifier: Apache-2.0

services:
  redis-vector-db:
    image: redis/redis-stack:7.2.0-v9
    container_name: redis-vector-db
    ports:
      - "6379:6379"
      - "8001:8001"
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 5s
      timeout: 3s
      retries: 10
  dataprep-redis-service:
    image: ${REGISTRY:-opea}/dataprep:${TAG:-latest}
    container_name: dataprep-redis-server
    depends_on:
      redis-vector-db:
        condition: service_healthy
      tei-embedding-service:
        condition: service_started
    ports:
      - "6007:5000"
    environment:
      no_proxy: ${no_proxy}
      http_proxy: ${http_proxy}
      https_proxy: ${https_proxy}
      REDIS_URL: redis://redis-vector-db:6379
      REDIS_HOST: redis-vector-db
      INDEX_NAME: ${INDEX_NAME}
      TEI_ENDPOINT: http://tei-embedding-service:80
      HF_TOKEN: ${HF_TOKEN}
    healthcheck:
      test:
        ["CMD-SHELL", "curl -f http://localhost:5000/v1/health_check || exit 1"]
      interval: 10s
      timeout: 5s
      retries: 50
    restart: unless-stopped
  tei-embedding-service:
    image: ghcr.io/huggingface/text-embeddings-inference:cpu-1.7
    container_name: tei-embedding-server
    ports:
      - "6006:80"
    volumes:
      - "${MODEL_CACHE:-./data}:/data"
    shm_size: 1g
    environment:
      no_proxy: ${no_proxy}
      http_proxy: ${http_proxy}
      https_proxy: ${https_proxy}
    command: --model-id ${EMBEDDING_MODEL_ID} --auto-truncate
  retriever:
    image: ${REGISTRY:-opea}/retriever:${TAG:-latest}
    container_name: retriever-redis-server
    depends_on:
      - redis-vector-db
    ports:
      - "7000:7000"
    ipc: host
    environment:
      no_proxy: ${no_proxy}
      http_proxy: ${http_proxy}
      https_proxy: ${https_proxy}
      REDIS_URL: redis://redis-vector-db:6379
      REDIS_HOST: redis-vector-db
      INDEX_NAME: ${INDEX_NAME}
      TEI_EMBEDDING_ENDPOINT: http://tei-embedding-service:80
      HF_TOKEN: ${HF_TOKEN}
      LOGFLAG: ${LOGFLAG}
      RETRIEVER_COMPONENT_NAME: "OPEA_RETRIEVER_REDIS"
    restart: unless-stopped
  tei-reranking-service:
    image: ghcr.io/huggingface/text-embeddings-inference:cpu-1.7
    container_name: tei-reranking-server
    ports:
      - "8808:80"
    volumes:
      - "${MODEL_CACHE:-./data}:/data"
    shm_size: 1g
    environment:
      no_proxy: ${no_proxy}
      http_proxy: ${http_proxy}
      https_proxy: ${https_proxy}
      HF_TOKEN: ${HF_TOKEN}
      HF_HUB_DISABLE_PROGRESS_BARS: 1
      HF_HUB_ENABLE_HF_TRANSFER: 0
    command: --model-id ${RERANK_MODEL_ID} --auto-truncate
  vllm-service:
    image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.10.1
    container_name: vllm-service
    ports:
      - "9009:80"
    volumes:
      - "${MODEL_CACHE:-./data}:/root/.cache/huggingface/hub"
    shm_size: 128g
    environment:
      no_proxy: ${no_proxy}
      http_proxy: ${http_proxy}
      https_proxy: ${https_proxy}
      HF_TOKEN: ${HF_TOKEN}
      LLM_MODEL_ID: ${LLM_MODEL_ID}
      VLLM_TORCH_PROFILER_DIR: "/mnt"
      VLLM_CPU_KVCACHE_SPACE: 40
    healthcheck:
      test: ["CMD-SHELL", "curl -f http://$host_ip:9009/health || exit 1"]
      interval: 10s
      timeout: 10s
      retries: 100
    command: --model $LLM_MODEL_ID --host 0.0.0.0 --port 80
  chatqna-epyc-backend-server:
    image: ${REGISTRY:-opea}/chatqna:${TAG:-latest}
    container_name: chatqna-epyc-backend-server
    depends_on:
      redis-vector-db:
        condition: service_started
      dataprep-redis-service:
        condition: service_healthy
      tei-embedding-service:
        condition: service_started
      retriever:
        condition: service_started
      tei-reranking-service:
        condition: service_started
      vllm-service:
        condition: service_healthy
    ports:
      - "8888:8888"
    environment:
      - no_proxy=${no_proxy}
      - https_proxy=${https_proxy}
      - http_proxy=${http_proxy}
      - MEGA_SERVICE_HOST_IP=chatqna-epyc-backend-server
      - EMBEDDING_SERVER_HOST_IP=tei-embedding-service
      - EMBEDDING_SERVER_PORT=${EMBEDDING_SERVER_PORT:-80}
      - RETRIEVER_SERVICE_HOST_IP=retriever
      - RERANK_SERVER_HOST_IP=tei-reranking-service
      - RERANK_SERVER_PORT=${RERANK_SERVER_PORT:-80}
      - LLM_SERVER_HOST_IP=vllm-service
      - LLM_SERVER_PORT=80
      - LLM_MODEL=${LLM_MODEL_ID}
      - LOGFLAG=${LOGFLAG}
    ipc: host
    restart: always
  chatqna-epyc-ui-server:
    image: ${REGISTRY:-opea}/chatqna-ui:${TAG:-latest}
    container_name: chatqna-epyc-ui-server
    depends_on:
      - chatqna-epyc-backend-server
    ports:
      - "5173:5173"
    environment:
      - no_proxy=${no_proxy}
      - https_proxy=${https_proxy}
      - http_proxy=${http_proxy}
    ipc: host
    restart: always
  chatqna-epyc-nginx-server:
    image: ${REGISTRY:-opea}/nginx:${TAG:-latest}
    container_name: chatqna-epyc-nginx-server
    depends_on:
      - chatqna-epyc-backend-server
      - chatqna-epyc-ui-server
    ports:
      - "${NGINX_PORT:-80}:80"
    environment:
      - no_proxy=${no_proxy}
      - https_proxy=${https_proxy}
      - http_proxy=${http_proxy}
      - FRONTEND_SERVICE_IP=chatqna-epyc-ui-server
      - FRONTEND_SERVICE_PORT=5173
      - BACKEND_SERVICE_NAME=chatqna
      - BACKEND_SERVICE_IP=chatqna-epyc-backend-server
      - BACKEND_SERVICE_PORT=8888
      - DATAPREP_SERVICE_IP=dataprep-redis-service
      - DATAPREP_SERVICE_PORT=5000
    ipc: host
    restart: always

networks:
  default:
    driver: bridge