Skip to main content

Posts

Showing posts with the label Chatbot memory

Stateful Chatbots with Gemini and LangGraph (LangChain)

When designing AI chatbots, a key architectural choice is whether to make your chatbot   stateless   or   stateful . Here's what that means and why it matters. Stateless Chatbots Stateless chatbots treat every user input as an isolated message. They do not remember previous interactions. This can be simple to implement but lacks conversational memory, making complex or context-driven dialogue harder to handle. Stateful Chatbots Stateful chatbots maintain memory across interactions, which allows them to provide personalized and coherent responses. They are ideal for tasks like long-form conversations, remembering user preferences, or task-driven agents. Building a Stateful Chatbot with Gemini + LangGraph Below is a complete example of how to build a stateful chatbot using  Gemini 2.5 Pro ,  LangChain , and  LangGraph . This chatbot can remember prior messages using a memory saver, and supports graph-based workflows for flexibility. # Import required librari...