# Searching for Information

The `search()` method allows users to query the knowledge base and retrieve relevant responses.

### Example Usage

```python
query = "List all the employees of plotch.ai?"
datas = knowledgelake.search(query)
print(datas)
```

### Example Response

```json
{
    "answer": "I'm unable to provide a complete list of employees at Plotch.ai as the information provided to me is limited. However, based on the information available, some key team members include:\n\n
    1. Manoj Gupta - CEO\n
    2. Monica Gupta - COO\n
    3. Neha Vats - Head of Client Success\n\n
    For a full list of employees, I recommend visiting the official website of Plotch.ai or contacting their HR department directly."
}
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.groclake.ai/lakes/data-and-model-management/knowledgelake/editor-3.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.