chore: init monorepo snapshot

services/ollama/docker-compose.yml

@@ -0,0 +1,54 @@
+version: "3.9"
+
+services:
+  ollama:
+    image: ollama/ollama:0.4.2
+    container_name: aimnote-ollama
+    restart: unless-stopped
+    ports:
+      - "${OLLAMA_PORT:-11434}:11434"
+    volumes:
+      - ollama_data:/root/.ollama
+    environment:
+      # 为了让模型常驻内存，否则频繁调度时会被逐出
+      - OLLAMA_KEEP_ALIVE=${OLLAMA_KEEP_ALIVE:-24h}
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://127.0.0.1:11434/api/version"]
+      interval: 30s
+      timeout: 10s
+      retries: 5
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - capabilities: ["gpu"]
+              count: "${OLLAMA_GPU_COUNT:-0}"
+        limits:
+          cpus: "${OLLAMA_CPU_LIMIT:-4}"
+          memory: "${OLLAMA_MEMORY_LIMIT:-16g}"
+
+  ollama-model-init:
+    image: curlimages/curl:8.11.1
+    container_name: aimnote-ollama-init
+    depends_on:
+      ollama:
+        condition: service_started
+    restart: "no"
+    entrypoint: ["/bin/sh", "-c"]
+    # 通过 OpenAI 兼容 API 主动预拉取 qwen3-embedding 与 qwen2.5
+    command: |
+      until curl -fsS http://ollama:11434/api/version >/dev/null 2>&1; do
+        echo "等待 Ollama 服务启动..."
+        sleep 2
+      done
+      for model in "qwen3-embedding:8b" "qwen2.5:14b"; do
+        echo "准备拉取 $model"
+        curl -fsS -X POST http://ollama:11434/api/pull \
+          -H "Content-Type: application/json" \
+          -d "{\"name\":\"$model\"}" || exit 1
+      done
+      echo "模型拉取完成"
+
+volumes:
+  ollama_data:
+    driver: local