Refactor document handling and update Milvus collection settings

- Removed multiple failed document entries from `documents.json`.
- Added a new document entry with updated metadata and changed the index name to `regulations_dense_1024_v2`.
- Updated architecture documentation to reflect changes in the Milvus collection name.
- Adjusted requirements by removing the sqlalchemy dependency.
- Modified test cases to align with new document structure and naming conventions.
- Introduced a new test file for Milvus vector index runtime recovery and error handling.
- Updated assertions in various test files to ensure compatibility with the new schema.

backend/app/application/perception/services.py

@@ -71,9 +71,9 @@ class PerceptionService:
                     affected_docs.append(
                         {
                             "doc_id": chunk.doc_id,
-                            "doc_name": chunk.doc_name,
+                            "doc_title": chunk.doc_title,
                             "score": round(float(chunk.score), 4),
-                            "snippet": (chunk.content or "")[:180],
+                            "snippet": (chunk.text or "")[:180],
                             "clause": getattr(chunk, "section_title", "") or "",
                         }
                     )
@@ -84,7 +84,7 @@ class PerceptionService:
 
         # --- 2. Build context from retrieved chunks ---
         context_parts = [
-            f"[文档{i}: {c.doc_name}]\n{(c.content or '')[:400]}"
+            f"[文档{i}: {c.doc_title}]\n{(c.text or '')[:400]}"
             for i, c in enumerate(chunks[:5], 1)
         ]
         context = "\n\n".join(context_parts) if context_parts else "（知识库中暂无相关文档）"