This Guidance demonstrates how to build an application that allows users to query relational databases using natural language. The architecture uses a LangChain SQL database chain, a Streamlit frontend framework, and an Amazon SageMaker JumpStart foundation model (FM). The user's natural language query is passed to the LangChain SQL database chain, which translates it into a SQL statement using the FM. This SQL statement runs against the configured relational database, retrieving the relevant results.

These database results are passed back to the FM, which generates a natural language explanation summarizing the findings in an easy-to-understand format. The natural language explanation is then presented to the user through the Streamlit frontend, providing a user-friendly interface for submitting queries and viewing results.