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+This demo incorporates server-side semantic search into the [DevExtreme DataGrid](/Documentation/Guide/UI_Components/DataGrid/Overview/). Semantic search finds results based on meaning rather than exact wording, understanding the context and intent behind a question or phrase. This allows your DevExtreme-powered app to deliver more relevant answers by connecting related concepts, even if exact words differ.
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+To review benefits of this feature, search for dictionary entries and their descriptions and use synonyms or generic descriptions instead of exact search strings (such as "clothing" instead of a specific product name). You can fine-tune search results: use the Similarity Factor editor to change the search precision.
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+[note]
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+AI services used for this demo have been rate and data limited. As such, you may experience performance-related delays when exploring the capabilities of the DataGrid AI Assistant.
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+When connected to your own AI model/service without rate and data limits, semantic search will perform seamlessly, without artificial delays. Note that DevExtreme does not offer an AI REST API and does not ship any built-in LLMs/SLMs.
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+[/note]
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+This demo configures semantic filtering on the server (using [AzureOpenAI embeddings](https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/embeddings?tabs=csharp)). You can incorporate server-side semantic search using built-in DataGrid visual elements. In this demo, each request returns filtered data using two parameters:
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+- A search value (entered in the built-in [search panel](/Documentation/ApiReference/UI_Components/dxDataGrid/Configuration/searchPanel/))
+- A similarity factor (can be adjusted via a custom [toolbar](/Documentation/ApiReference/UI_Components/dxDataGrid/Configuration/toolbar/) item)
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+After you enter a query in the search panel, DataGrid passes the new search value to the backend and loads the filtered data set.