We have developed a natural language ChatBot that translates your natural language queries into SQL statements and Python.
You do not need to know how your data is organized and where it is stored – just use business language and ask the ChatBot.
The Retrieval Augmented Generation (RAG) approach we take, vectorizes the data model as well as additional domain terminology and stores it in MongoDB.
The vector data is used to feed the Large Language Model (LLM) to produce superior query results, without hallucination.
Your data content is never sent to the LLM – just the meta data.
You can white label the ChatBot and it is multi-lingual as well.
If you are interested, click here to download the PDF.