修改rag，实现混合检索

tools/test/quick_test.py

@@ -0,0 +1,40 @@
+#!/usr/bin/env python3
+"""
+简单测试脚本：测试文档里真正有的内容
+"""
+
+import asyncio
+import os
+import sys
+
+project_root = os.path.join(os.path.dirname(__file__), "..", "..")
+sys.path.insert(0, os.path.join(project_root, "backend"))
+
+from qdrant_client import models
+from rag_core import QdrantVectorStore, get_sparse_embedder
+from app.model_services import get_embedding_service
+
+
+def test_dense_retrieval():
+    """测试稠密检索"""
+    print("="*70)
+    print("测试稠密检索...")
+    print("="*70)
+    
+    embeddings = get_embedding_service()
+    vs = QdrantVectorStore(collection_name="rag_documents", embeddings=embeddings)
+    
+    query = "黄双银"  # 用文档里真正有的名字查询
+    print(f"\n查询: {query}")
+    
+    results = vs.similarity_search(query, k=3)
+    
+    print(f"\n找到 {len(results)} 个结果\n")
+    for i, doc in enumerate(results):
+        print(f"--- 结果 {i+1} ---")
+        print(doc.page_content[:200])
+        print()
+
+
+if __name__ == "__main__":
+    test_dense_retrieval()