Merge pull request #10 from GrapeCity-AI/ian_fix_0725

Ian fix 0725

Author: experdot

README.md

@@ -77,18 +77,11 @@ docker compose up -d --build
 ETL 管理后台部署：
 
 ```bash
-# 进入 ETL 目录
+# 1. 进入 ETL 目录
 cd sources/gc-qa-rag-etl
 
-# 构建 Docker 镜像
-docker build -t rag-etl:latest .
-
-# 运行容器
-docker run -d \
-  --name rag-etl \
-  -p 8001:8001 \
-  -e GC_QA_RAG_ENV=production \
-  rag-etl:latest
+# 2. 构建 Docker 镜像
+docker compose up -d --build
 ```
 
 **第三步：上传数据并开始使用**

README_ENGLISH.md

@@ -73,18 +73,11 @@ docker compose up -d --build
 ETL management backend deployment:
 
 ```bash
-# Enter ETL directory
+# 1. Enter ETL directory
 cd sources/gc-qa-rag-etl
 
-# Build Docker image
-docker build -t rag-etl:latest .
-
-# Run container
-docker run -d \
-  --name rag-etl \
-  -p 8001:8001 \
-  -e GC_QA_RAG_ENV=production \
-  rag-etl:latest
+# 2. Start all services
+docker compose up -d --build
 ```
 
 **Step 3: Upload Data and Start Using**

sources/gc-qa-rag-etl/.config.development.json

@@ -13,7 +13,7 @@
         "api_key": ""
     },
     "vector_db": {
-        "host": "http://localhost:6333"
+        "host": "http://host.docker.internal:6333"
     },
     "root_path": "./.rag-cache",
     "log_path": "./"

sources/gc-qa-rag-etl/docker-compose.yml

@@ -0,0 +1,18 @@
+version: "3.8"
+
+services:
+  rag-etl:
+    build:
+      context: .
+      dockerfile: Dockerfile
+    container_name: rag_etl_container
+    restart: on-failure
+    environment:
+      GC_QA_RAG_ENV: production
+    ports:
+      - "8001:8001"
+    volumes:
+      - rag-etl-cache:/app/.rag-cache
+
+volumes:
+  rag-etl-cache: