> For the complete documentation index, see [llms.txt](https://docs.groclake.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.groclake.ai/lakes/agent-management-and-deployment/memorylake/editor-1.md).

# Value Structure

Each stored value consists of the following fields:

* `query_text`: The user's input/query.
* `response_text`: The system's response.
* `entities`: A list containing metadata:
  * `time`: Timestamp when the memory was stored.
  * `memory_id`: Matches the memory ID in the key.
  * `context_id`: Matches the context ID in the key.
  * `memory_quality`: A rating representing the quality of the memory. Memory quality is stored as **1** by default, which means a "good" memory, while **0** indicates a "bad" memory.
* `metadata`: Additional information:
  * `context_entity_id`: Matches the context entity ID in the key.
  * `user_uuid`: Matches the user UUID in the key.

### **Default Value Structure**

```python
value = {
    "query_text": memory['query_text'],
    "response_text": memory['response_text'],
    "entities": [
        {
            "time": memory['time'],
            "memory_id": memory_context['memory_id'],
            "context_id": memory_context['context_id'],
            "memory_quality": 1  # Default memory quality
        }
    ],
    "metadata": {"context_entity_id": memory_context['context_entity_id'], "user_uuid": user_uuid}
}
```

### **Example of the Value Structure**

```python
memory = {
    "query_text": "Hello!",
    "response_text": "Hi there! How can I help you?",
    "time": "2025-02-05T12:00:00Z",
    "cache_ttl": 3600,  # Time-to-live in seconds
    "entities": [
        {
            "time": "2025-02-05T12:00:00Z",
            "memory_id": "msg001",
            "context_id": "session1",
            "memory_quality": 1,
        }
    ],
    "metadata": {
        "context_entity_id": "chatbot",
        "user_uuid": "user123",
    }
}
```


---

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