This project enables users to connect to any database, input queries in natural human language, and retrieve relevant data by converting these queries into SQL. The project implements two different approaches to achieve this: one using pre-defined retrievers and query engines, and another using a Query Pipeline (DAG).

Application component that provides Natural Language Querying (NLQ) services, making knowledge stored in a graph database accessible for e.g. a ChatBot UI.