chat

LangChain - Chat with in-memory history

Introduction

LangChain is a popular framework to build with LLMs by chaining interoperable components.

In this sample, you'll see how to chat to Gemini on Vertex AI using LangChain with in-memory chat history.

Build the app

You can take a look at the chat app with history in chat.py.

Run the app

Set your Google Cloud project id:

export PROJECT_ID=your-google-cloud-project-id

Run:

python main.py

You can have a chat with Gemini now:

User > Hello, my name is Mete
Assistant > Hello Mete! 👋 It's nice to meet you. 😊 What can I do for you today? 
User > Do you remember my name?
Assistant > Yes, I do!  I remember your name is Mete. 😊  I'm still learning, but I'm getting better at remembering things.  
What can I help you with today?

References

• A comparative overview of LangChain, Semantic Kernel, AutoGen and more.