m.search(query="我喜欢什么工作", user_id="alice")，search方法中的query参数变化，不会影响score的值

[1490113799]

🐛 Describe the bug

import os
import json
import time
from mem0 import Memory
os.environ["DEEPSEEK_API_KEY"] = "sk-cc99"
os.environ["OPENAI_API_KEY"] = "sk-cc99"


# ✅ 修正：embedding_model_dims 改为 768，与 mxbai-embed-large 一致
config = {
    "llm": {
        "provider": "deepseek",
        "model": "deepseek-chat",
        "temperature": 0.6,
        "max_tokens": 2000,
        # "top_p": 1.0
    },
    "embedder": {
        "provider": "ollama",
        "config":{
            "model": "mxbai-embed-large",
            "embedding_dims":1024
        }

    },
    "vector_store": {
        "provider": "qdrant",
        "config": {
            "collection_name": "mem2_0044",
            "host": "192.168.100.137",
            "port": 6333,
            "embedding_model_dims": 1024
        }
    },
    "reset_vector_store": True  # ✅ 强制重建索引，清除旧的 1536 维数据
}

m = Memory.from_config(config)

 messages = [    
 {"role": "user", "content": "我喜欢武侠电影，尤其是十面埋伏。"},
    {"role": "user", "content": "我喜欢的书籍是十万个为什么"},
    {"role": "user", "content": "我喜欢的工作是写代码"},
     {"role": "user", "content": "我喜欢的颜色是红色"},
     {"role": "user", "content": "我喜欢的明星是张凌赫"}
 ]

# # # 添加记忆
 m.add(messages, user_id="alice", metadata={"category": "movies"})

# time.sleep(2)  # 等待向量入库（Elasticsearch 可能有延迟）

# 再检索
memories = m.search(query="我喜欢什么工作", user_id="alice")
# memories1 = m._search_vector_store(query="我喜欢什么电影")
print(json.dumps(memories, indent=2, ensure_ascii=False))
# print(json.dumps(memories1, indent=2, ensure_ascii=False))

#打印当前时间戳
print(time.strftime("%Y-%m-%d %H:%M:%S.%SSS", time.localtime(time.time())))
# all_memories = m.get_all(user_id="alice")
# print(json.dumps(all_memories, indent=2, ensure_ascii=False))

上面这段代码中，如果我传入memories = m.search(query="我喜欢什么工作", user_id="alice")

{
  "results": [
    {
      "id": "ea59232f-ec4e-4d0f-9c0c-b1b815f1a444",
      "memory": "喜欢的明星是张凌赫",
      "hash": "23b4edc5d03900597cd10f808386d4bc",  
      "metadata": {
        "category": "movies"
      },
      "score": 0.69316304,
      "created_at": "2025-10-26T20:03:28.125814-07:00",
      "updated_at": null,
      "user_id": "alice"
    },
    {
      "id": "a01b74fe-22e7-465d-8eff-2aa1946e886e",
      "memory": "喜欢武侠电影，尤其是十面埋伏",
      "hash": "8af06143756459df8aa5f09c9d5846e0",
      "metadata": {
        "category": "movies"
      },
      "score": 0.67794466,
      "created_at": "2025-10-26T20:03:27.663636-07:00",
      "updated_at": null,
      "user_id": "alice"
    },
    {
      "id": "d3339161-6fbc-4f65-8ed8-7a4221d13147",
      "memory": "喜欢的工作是写代码",
      "hash": "fed887a6565d3c3efb48f67d39c3655a",
      "metadata": {
        "category": "movies"
      },
      "score": 0.60878694,
      "created_at": "2025-10-26T20:03:27.918595-07:00",
      "updated_at": null,
      "user_id": "alice"
    }
]
}

如果我传入memories = m.search(query="我喜欢什么电影", user_id="alice")，依然返回

{
  "results": [
    {
      "id": "ea59232f-ec4e-4d0f-9c0c-b1b815f1a444",
      "memory": "喜欢的明星是张凌赫",
      "hash": "23b4edc5d03900597cd10f808386d4bc",  
      "metadata": {
        "category": "movies"
      },
      "score": 0.69316304,
      "created_at": "2025-10-26T20:03:28.125814-07:00",
      "updated_at": null,
      "user_id": "alice"
    },
    {
      "id": "a01b74fe-22e7-465d-8eff-2aa1946e886e",
      "memory": "喜欢武侠电影，尤其是十面埋伏",
      "hash": "8af06143756459df8aa5f09c9d5846e0",
      "metadata": {
        "category": "movies"
      },
      "score": 0.67794466,
      "created_at": "2025-10-26T20:03:27.663636-07:00",
      "updated_at": null,
      "user_id": "alice"
    },
    {
      "id": "d3339161-6fbc-4f65-8ed8-7a4221d13147",
      "memory": "喜欢的工作是写代码",
      "hash": "fed887a6565d3c3efb48f67d39c3655a",
      "metadata": {
        "category": "movies"
      },
      "score": 0.60878694,
      "created_at": "2025-10-26T20:03:27.918595-07:00",
      "updated_at": null,
      "user_id": "alice"
    }
]
}

"score"值没有任何变化，请问是什么原因