Next-Gen Database Queries: AI-Driven Natural Language Interface for MongoDB
Arpan Shaileshbhai Korat · International Journal for Research in Applied Science and Engineering Technology · 2024
This paper present an novel concept to query MongoDB database using NLP and Large Language Model (LLM). It is called LLM Based MongoDB Querying System through which users can search in MongoDB databases just by using simple words of English language rather than using complex language queries. To help improve the ai quality we use OpenAI’s LLM to parse the user queries and create correct MongoDB queries themselves. In a large-scale experiment, system is able to classify with an average of 95 percentage accuracy. The findings of this research are important forthe database querying research and might be beneficial for multiple domains. This research is valuable, because our system can help ordinary users become more fluent in database operations and make working with databases more efficient.