Building chatbots with LangChain

Now that you have created a clear concept for your conversation, it is time to implement it. LangChain offers a powerful framework for building chatbots using LangGraph for modeling the conversation flow. By providing pre-built components and abstractions that address diverse aspects of chatbot creation, LangChain empowers developers to focus on the unique components of their application while leaving the heavy lifting of managing models and integrating different components to the framework.

Building a basic chatbot with LangChain messages

Building a basic chatbot requires three things: human messages, AI messages, and a memory of the history, which allows the chatbot to respond to what has been said before. Deceptively simple, right?

Adding memory to a chatbot comes with a lot of challenges. First, storing and persisting memory across multiple invocations of LLMs requires knowledge of application engineering and application memory. With serverless...