# Negative Description Search

The negative description search function is designed to exclude results that match a specified business concept, topic, or theme. This helps in refining the search output by removing irrelevant or undesired content, ensuring that only the most relevant results are included.

<figure><img src="/files/2QCA26LOBGjJXan8zq4g" alt="" width="178"><figcaption></figcaption></figure>

1. **Detailed Description**: Write a comprehensive and detailed description that encapsulates the business concept or topic you want to exclude. This description should include key elements, characteristics, and any specific criteria related to the concept. This also includes relevant keywords, phrases, and any associated terminology.
2. **How to Use Negative Description Search**:
   * **Input Description**: Enter the detailed description of the concept you wish to exclude. For example, if you want to exclude results related to "fast food restaurants," your description might include terms like "fast food chains," "quick service restaurants," "burgers and fries," and specific brand names like "McDonald's" or "Burger King."
   * **Comprehensive Coverage**: Make sure the description is comprehensive enough to cover all aspects of the concept you want to exclude, including synonyms, related terms, and specific examples.
3. **Combining with Positive Search**: This combination helps focus on the desired content while automatically excluding results that match the negative description.
4. &#x20;This method eliminates the need for manual filtering, saving time and effort.


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# 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.pandamatch.io/filters/negative-search/negative-description-search.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.