Summary

In this chapter, we looked at a real-world example of creating a ChatGPT-powered conversational agent, using some of the techniques and technologies that we covered in earlier chapters. Our example was thoughtfully designed to cover the use cases, functionality, and features of our chatbot, allowing us to apply our knowledge of LangChain, RAG systems, and related tools effectively. You were also introduced to the Streamlit library to create rich chat interfaces and saw how to use this with LangChain. Hopefully, we’ve implemented our code base to make our agent extensible and something that we could use for a more complex project. We’ve achieved our aim of creating a ChatGPT conversational agent with knowledge of our own data and the capability to use external information and sources.

We’ve created our POC and validated our concept. It’s a start, but there is a lot to consider before creating a more extensive application and going live. In our...