What is possible with a concept search?

A concept search relies on the underlying technology’s ability to understand the context and semantics of the data rather than just matching exact keywords. When a concept search is conducted, it analyzes the meanings and relationships between terms within the data set. If no relevant concepts are identified, it is entirely possible for the search to return no documents. This outcome reflects the absence of meaningful connections or relevant information matching the user’s inquiry within the indexed data.

The other outcomes are less feasible within the framework of a concept search. For instance, returning empty documents would imply that there are documents within the index that contain no data at all, which is not a characteristic of how concept searches operate. Similarly, returning documents that share no terms with the data source contradicts the fundamental principle of a concept search, as it focuses on finding relevant content based on semantic analysis. Finally, delivering documents that are not part of the data source indicates a failure to restrict results to the indexed material, which is not in line with how searches are supposed to function in a well-structured system.