Imagine you’re a software developer looking for database optimization techniques, especially to boost the efficiency of queries in large-scale databases. In a traditional SQL database, you might use keywords like “B-Tree indexing” or simply “Indexing” to find related blogs or articles. However, this keyword-based approach might overlook important blogs or articles that use different but related phrases, such as “SQL tuning or “indexing strategies.”

Consider another scenario where you’re aware of the context but not the exact name of a specific technique. Traditional databases, relying on exact keyword matches, fall short in such situations as they cannot search based on context alone.