RAGvsGraphRAG/docker-compose.yml at main · deepanshu-yadav/RAGvsGraphRAG · GitHub

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version: "3.9"

# ============================================================
#  RAG vs GraphRAG — Infrastructure Stack
#  Services: Neo4j · Qdrant · llama-server
# ============================================================

networks:
  ragnet:
    driver: bridge

volumes:
  neo4j_data:
  neo4j_logs:
  neo4j_plugins:
  qdrant_data:

services:

  # ----------------------------------------------------------
  #  Neo4j — Knowledge Graph Store
  # ----------------------------------------------------------
  neo4j:
    image: neo4j:5.26-community
    container_name: neo4j
    restart: unless-stopped
    ports:
      - "7474:7474"   # Neo4j Browser (HTTP)
      - "7687:7687"   # Bolt protocol (used by neo4j Python driver)
    environment:
      NEO4J_AUTH: "neo4j/carol123"
      NEO4J_PLUGINS: '["apoc"]'
      NEO4J_dbms_security_procedures_unrestricted: "apoc.*"
      NEO4J_dbms_memory_heap_initial__size: "512m"
      NEO4J_dbms_memory_heap_max__size: "2g"
      NEO4J_dbms_memory_pagecache_size: "512m"
      # Allow connections from anywhere (dev only)
      NEO4J_dbms_connector_bolt_listen__address: "0.0.0.0:7687"
      NEO4J_dbms_connector_http_listen__address: "0.0.0.0:7474"
    volumes:
      - neo4j_data:/data
      - neo4j_logs:/logs
      - neo4j_plugins:/plugins
    networks:
      - ragnet
    healthcheck:
      test: ["CMD-SHELL", "wget -qO- http://localhost:7474 || exit 1"]
      interval: 15s
      timeout: 10s
      retries: 5
      start_period: 30s

  # ----------------------------------------------------------
  #  Qdrant — Vector Database (Normal RAG)
  # ----------------------------------------------------------
  qdrant:
    image: qdrant/qdrant:v1.14.0
    container_name: qdrant
    restart: unless-stopped
    ports:
      - "6333:6333"   # REST API
      - "6334:6334"   # gRPC
    environment:
      QDRANT__LOG_LEVEL: INFO
    volumes:
      - qdrant_data:/qdrant/storage
    networks:
      - ragnet
    healthcheck:
      test: ["CMD-SHELL", "wget -qO- http://localhost:6333/healthz || exit 1"]
      interval: 10s
      timeout: 5s
      retries: 5
      start_period: 10s

  # # ----------------------------------------------------------
  # #  llama-server — LLM & Embedding Server
  # # ----------------------------------------------------------
  # llama-server:
  #   image: ghcr.io/ggml-org/llama.cpp:server
  #   container_name: llama_server
  #   restart: unless-stopped
  #   ports:
  #     - "8000:8000"
  #   volumes:
  #     # Mount the host directory containing the model
  #     - "C:/Users/DEEPANSHU/Desktop/workspace/models/lfm2.5 thinking:/models"
  #   command: >
  #     -m /models/granite-4.0-micro-Q5_0.gguf
  #     --host 0.0.0.0
  #     --port 8000
  #     --n-gpu-layers 0
  #     --embeddings
  #     --pooling mean
  #     -c 32768
  #   networks:
  #     - ragnet
  #   healthcheck:
  #     test: ["CMD-SHELL", "wget -qO- http://localhost:8000/health || exit 1"]
  #     interval: 30s
  #     timeout: 10s
  #     retries: 3
  #     start_period: 30s