Building a Text-to-SQL Chatbot

This post details the construction of a text-to-SQL chatbot by integrating Hex, LangChain, and OpenAI. It showcases how to leverage natural language to query databases, with specific emphasis on using user selections to dynamically provide context (database, schema, column names, descriptions, data types) to the LangChain and OpenAI functions, thereby improving bot accuracy. The post also mentions the use of LangSmith for prompt tracing and future considerations like incorporating memory and chat features.