qdrant_ops_client.py 582 B

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  1. # @description:
  2. # @author: licanglong
  3. # @date: 2025/12/11 11:43
  4. # from qdrant_client import QdrantClient
  5. #
  6. # client = QdrantClient(host="localhost", port=6333)
  7. #
  8. # # 插入向量
  9. # client.upsert(
  10. # collection_name="embedding_example",
  11. # points=[
  12. # {
  13. # "id": 1,
  14. # "vector": embedding_1.tolist(), # 由模型生成
  15. # "payload": {"text": "I love NLP"}
  16. # },
  17. # {
  18. # "id": 2,
  19. # "vector": embedding_2.tolist(),
  20. # "payload": {"text": "I love machine learning"}
  21. # }
  22. # ]
  23. # )