# Filter by review rating

In this article, we will guide you on how to configure a filter by review rating in the filter group like this:

![](/files/5iFel8pdTLVkxY0FOxD4)

Before starting, we have to integrate  a review rating first, please follow our guide below:

{% content-ref url="/pages/S91oUYN8sqOVkoPef21A" %}
[Product reviews](/integrations/product-reviews.md)
{% endcontent-ref %}

**1. Filter type**: Select filter type is **Review Rating**

![](/files/NAR0NwsrsWowhcmEwWGr)

**2. Filter title:** Enter the label for the Filter title, this label will be displayed on the storefront.

3\. In the next section, we have 2 options:

![](/files/y9UOLfjGUzcWRm4Vrbzn)

**Show products with ratings greater or equal selected ratings:**

Show products that have their rating value greater or equal to the rating value your customer selected. e.g. When your customers choose a **3 stars** rating value, the filter result will display products that have their rating value **greater or equal** **to** **3 stars** (from **3 stars to 5 stars**).

**Show products with ratings equal selected ratings exactly:**

Show products that have their rating value equal to the rating value your customer selected exactly. e.g. When your customers choose a 4 stars rating value, the filter result will display products that have 4 stars reviews only.

Rating color: Choose a color for the rating star icon.

![](/files/ci8ld3j9wsOht9ElXXxF)

4\. After finish, click the **Save** button, and the is the result on your collection/search page:

![](/files/TbqdktmBguk2PHiaIBKj)

The result after filtering by reviews:

![](/files/6kczmn3dZUHcucaodpOz)


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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.flashsearch.io/filters/filters/filter-by-review-rating.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.