An in depth walkthrough on remodeling easy chatbots into refined AI assistants with long-term reminiscence and contextual understanding
In a earlier article I wrote about how I created a conversational chatbot with OpenAI. Nevertheless, when you have used any of the chatbot interfaces like ChatGPT or Claude et al., you’ll discover that when a session is closed and reopened, the reminiscence is retained, and you’ll proceed the dialog from the place you left off. That’s precisely the expertise I need to create on this article.
I’ll use LangChain as my basis which supplies superb instruments for managing dialog historical past, and can also be nice if you wish to transfer to extra complicated functions by constructing chains.
Code for recreating every thing on this article will be discovered at https://github.com/deepshamenghani/langchain_openai_persistence.
I’ll begin by making a loop for the consumer to enter questions for the chatbot. I’ll assign this to the variable humaninput. For now, as a substitute of an LLM output…