# Search settings

Relevance is a measurement of how well a document matches a query. To determine which documents are most relevant for a given search query, Search.io leverages a hybrid search engine that combined traditional keyword matching with semantic search through our Neuralsearch™ engine. Combined with machine learning algorithms, Search.io does not only takes into account the frequency with which the search terms appear in documents, but also user behaviour and business data to achieve the most relevant results.

To fine-tune relevance and ranking, Search.io offers a number of easy to use settings combined with a realtime search preview.

{% content-ref url="search-settings/understanding-relevance-and-ranking" %}
[understanding-relevance-and-ranking](https://docs.search.io/documentation/fundamentals/search-settings/understanding-relevance-and-ranking)
{% endcontent-ref %}

{% content-ref url="search-settings/textual-relevance" %}
[textual-relevance](https://docs.search.io/documentation/fundamentals/search-settings/textual-relevance)
{% endcontent-ref %}

{% content-ref url="search-settings/ranking-adjustments" %}
[ranking-adjustments](https://docs.search.io/documentation/fundamentals/search-settings/ranking-adjustments)
{% endcontent-ref %}

{% content-ref url="search-settings/dynamic-boosting" %}
[dynamic-boosting](https://docs.search.io/documentation/fundamentals/search-settings/dynamic-boosting)
{% endcontent-ref %}

{% content-ref url="search-settings/synonyms" %}
[synonyms](https://docs.search.io/documentation/fundamentals/search-settings/synonyms)
{% endcontent-ref %}

{% content-ref url="search-settings/redirects" %}
[redirects](https://docs.search.io/documentation/fundamentals/search-settings/redirects)
{% endcontent-ref %}


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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.search.io/documentation/fundamentals/search-settings.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.