Hi MongoDB Community,
I’m currently exploring AI-driven query generation for MongoDB and SQL databases. The goal is to dynamically generate queries based on user inputs using an AI model.
For MongoDB specifically, I’m looking for a model that can:
- Generate accurate
find(),aggregate(), and other MongoDB queries - Handle complex conditions, filtering, and nested structures
- Ensure query efficiency and optimization
- Potentially be fine-tuned for better results
Has anyone used AI models (like OpenAI’s GPT-4, LangChain, or others) for MongoDB query generation? Are there any best practices or recommended tools that integrate well with MongoDB?
Appreciate any guidance!
Thanks.