chat app with MongoDB Chat Message History using langchain| Tutorial:113

In this tutorial, we’ll be building a chat application using Streamlit, with MongoDB handling the backend storage for all chat message history. MongoDB will store the entire conversation history, making this tutorial straightforward yet highly requested by many of you. You’ve been asking how to store chat history inside MongoDB or any other database, and today I’m here to show you how.

We'll start by setting up a MongoDB database on Cloud Atlas, create the necessary database and collection to store the chat history, and then dive into the code. We’ll be using LangChain to interact with a language model (LLM) and Streamlit for our app interface.

Throughout the tutorial, I'll guide you step-by-step on how to import the required libraries, set up the LLM, create a user session to maintain chat history, and save the conversation history into MongoDB. This way, you’ll be able to track each chat interaction by different users, saving both user queries and the AI responses.

This is one of the most requested videos in the past month, where the chat app will interact with the LLM, and all message history will be saved in a backend database. MongoDB is widely used, and by following this tutorial, you’ll be equipped to implement and customize this for your own projects, be it for a client or your job.

I’ll also walk you through some important steps like creating a MongoDB user, setting up the connection string, and ensuring that each interaction is recorded correctly. By the end of this tutorial, you’ll understand how to effectively store chat history in MongoDB, which is a crucial skill for building scalable chat applications.

Before we start, make sure you have MongoDB and LangChain installed. I’ll show you how to connect to MongoDB Atlas, create your collections, and then integrate everything into a working chat app. We’ll also cover some more advanced techniques in future tutorials to make this process more efficient.

This is the first step towards creating a robust chat application with persistent storage. While this tutorial covers the basics, future videos will delve into more advanced methods, so stay tuned.

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With that, let's dive into the tutorial, and I’ll see you in the next video. Take care, goodbye, and happy learning!

[AnandavalliVijjapurapu]

hi bro you used python syntax right streamlit but how can access to the nodejs and javascript, i am trying to get the syntax to my code i am using node js back end please help to me how can access to node js

[yazanrisheh]

Ronin can you make a video of doing it with postgres and how to install postgress? I was using mongo and then sql server but now my internship is asking for Postgres and I'm a bit lost

[Dvadton]

Hello,
I’m trying to add an extra custom field to the document that’s been stored in db apart from the session id. Have you tried something like that?