feat: Migrate document parsing to Aliyun and update embedding configurations

- Updated LocalDocumentParser to include raw_layouts and artifact_prefix from settings.
- Added new documents with failure reasons and metadata to documents.json for better error tracking.
- Created a new documentation file detailing the Aliyun ingest implementation process.
- Updated RFC to reflect changes in the parsing backend and embedding dimensions.
- Modified tests to accommodate the new embedding dimension of 1024 and updated parser and chunk builder assertions.
- Verified migration configurations to ensure correct settings for embedding model and backend.

README.md

@@ -39,7 +39,7 @@ AIRegulation-DocAnalysis-Demo/
 ### 1. 安装依赖
 
 ```bash
-pip install -r backend/requirements.txt
+./dev.sh setup
 ```
 
 ### 2. 启动Milvus向量数据库
@@ -57,7 +57,7 @@ docker-compose logs -f milvus
 ### 3. 启动API服务
 
 ```bash
-PYTHONPATH=backend uvicorn app.main:app --reload --port 8000
+./dev.sh start api --foreground
 ```
 
 访问API文档：http://localhost:8000/docs
@@ -104,6 +104,8 @@ MILVUS_PORT=19530
 # 阿里云文档解析
 ALIBABA_ACCESS_KEY_ID=your_aliyun_access_key_id
 ALIBABA_ACCESS_KEY_SECRET=your_aliyun_access_key_secret
+PARSER_BACKEND=aliyun
+CHUNK_BACKEND=aliyun
 
 # embedding 配置
 EMBEDDING_MODEL=text-embedding-v3
@@ -121,6 +123,17 @@ CHUNK_SIZE=512
 - 混合检索问答功能
 - 法规变更监控与自动更新
 
+## 解析产物
+
+上传成功后，系统会把阿里云解析的中间结果持久化到 MinIO：
+
+- `artifacts/{doc_id}/layouts.json`
+- `artifacts/{doc_id}/structure_nodes.json`
+- `artifacts/{doc_id}/semantic_blocks.json`
+- `artifacts/{doc_id}/vector_chunks.json`
+
+当前默认 Milvus collection 为 `regulations_dense_1536_v2`。
+
 ## 许可证
 
 MIT License