Bridging the Gap: Enabling Natural Language Queries for NoSQL Databases through Text-to-NoSQL Translation
Researchers have developed a new method called Text-to-NoSQL to enable natural language queries for NoSQL databases, specifically focusing on MongoDB. They introduced TEND, a benchmark dataset with 1,210 MongoDB-native tasks designed to evaluate schema-less document reasoning. The study also presents SAG, a solver that grounds path and value information from stored documents before generating and repairing queries. Experiments indicate that even models proficient in Text-to-SQL struggle with this distinct schema-less reasoning problem. AI