docker-compose.yml

version: '3.8'
services:
  knowledgeretriever:
    build:
      context: .
      dockerfile: Dockerfile-knowledgeretriever
    volumes:
      - ./chroma_persist:/app/chroma_persist
    ports:
      - "80:80"
    environment:
      - KR_embeddings__mode="remote"
      - KR_embeddings__url="http://embedding:8082"
      - KR_embeddings__embedding_model="text-embedding-ada-002"
      - KR_vectorstore__mode="local"

    command: ["uvicorn", "knowledge_retriever.app:app", "--host", "0.0.0.0", "--port", "80"]

  embedding:
    build:
      dockerfile: Dockerfile-embedding
    ports:
      - "8082:8082"
    environment:
      - KR_embeddings__mode="local"
      - KR_embeddings__embedding_model="text-embedding-ada-002"
      

    command: ["uvicorn","knowledge_retriever.embedding.main:app", "--host", "0.0.0.0", "--port", "8082"]

  # frontapp:
  #   build:
  #     dockerfile: Dockerfile-frontapp
  #   ports:
  #     - "7000:7000"
  #   command: [ "python", "-m", "knowledge_retriever.frontapp.app"]

  #   environment:
  #     - KR_retriever__mode="remote"
  #     - KR_retriever__url="http://knowledgeretriever:80"
  #     - GOOGLE_APPLICATION_CREDENTIALS=keys/vertexai-sa.json