ASP.NET MVC Grid Semantic Search

The Telerik UI for ASP.NET MVC Grid provides a Semantic Search functionality that allows users to search through Grid data using natural language queries with AI-powered similarity matching.

This demo showcases the Semantic Search feature with an adjustable similarity threshold slider. The search uses embeddings to understand the semantic meaning of queries rather than simple text matching. You can adjust the threshold slider to control how strict or lenient the search results should be - higher values return only very similar results, while lower values return more matches with broader relevance.

Try searching for "workout essentials" in the demo above to look for records like "resistance bands set", "fitness guide", or "multivitamin tablets", even though none of these records contain the exact query. This intelligent matching is particularly valuable when users might not know the exact terminology used in your data.

The demo above uses a third-party transformer model to generate vector embeddings that understand semantic relationships in the data. Other approaches include large language models (LLMs), entity recognition, synonym expansion, or hybrid methods that combine multiple techniques.