The possibilities ought to be endless when SQL databases with inbuilt RegEx and patten-matching capabilities meet LLMs. Much is known about what it could do to fast-forward business processes and data analysis. However, the imaginations of individual end users, too, could traverse beyond the scope defined for business purposes; let's say, why not repurpose it for the use cases of information workers? I wanted to see how AskYourDatabase would fare with my queries primarily based on pattern-matching on my notes and some text material, and Woo-hoo! Now, I have an attribute and schema-aware information retrieval engine that returns data based on my SQL queries while actively enriching it. The notes make much more sense as the retrieval process now accounts for additional aspects, such as sequences, logic of organisation, and running threads, and not just spit out static content as is—loving it!