Semantic search is an AI backed type of search that allows you to find documents based on meaning and intent, rather than word matches like full-text does.
Instead of searching for literal occurrences of the words you type, the system analyzes the semantic similarity between the query and the document content. 
To perform this kind of search, you have to enter a text expression.

How Semantic Search Works

1. Document Understanding
   Documents are analyzed and converted into numerical representations (embeddings) that capture their meaning.
   
   
2. Query Interpretation
   Text entered into the search field is converted into an embedding using the same method.
   
   
3. Similarity Matching
   The system compares the query embedding with document embeddings and returns the documents whose meaning is most similar to the query.

Results are ranked based on semantic similarity rather than keyword frequency.