From a first attribute-value pair in a record, new data is created including a first token. Using a first model and using a processor and a memory, each token is vectorized into new data including a corresponding vector. From the record, a target row is selected, wherein a target attribute-value pair in the target row includes a value for which a semantic similarity computation is to be performed. Using a similarity measure, a set of most similar rows to the target row is determined, wherein each row in the set of most similar rows to the target row has a corresponding similarity measure above a threshold similarity measure and wherein each row in the set of most similar rows includes the target attribute. The set of most similar rows is used to compute a response to a database query.