Building a Database-Driven Chatbot with LangChain and OpenAI: A Practical Approach (Part 2, Chaining)

This post is the second part of a series on building a database-driven chatbot using LangChain and OpenAI. It details how to use chaining capabilities in LangChain to link outputs and create a seamless response generation process. By combining multiple chains such as query generation, query execution, and answer generation into one unified chain, the workflow becomes more efficient. The final chain can be invoked with sample input to generate a natural language response from a database query.