# @description: 
# @author: licanglong
# @date: 2025/12/11 11:43
# from qdrant_client import QdrantClient
#
# client = QdrantClient(host="localhost", port=6333)
#
# # 插入向量
# client.upsert(
#     collection_name="embedding_example",
#     points=[
#         {
#             "id": 1,
#             "vector": embedding_1.tolist(),  # 由模型生成
#             "payload": {"text": "I love NLP"}
#         },
#         {
#             "id": 2,
#             "vector": embedding_2.tolist(),
#             "payload": {"text": "I love machine learning"}
#         }
#     ]
# )