Building a Powerful Chatbot with GPT4All and LangChain: A Step-by-Step Tutorial

Introduction: Hello everyone! In this blog post, we will embark on an exciting journey to build a powerful chatbot using GPT4All and Langchain. By following the steps outlined in this tutorial, you’ll learn how to integrate GPT4All, an open-source language model, with Langchain to create a chatbot capable of answering questions based on a custom knowledge base. We’ll also explore how to enhance the chatbot with embeddings and create a user-friendly interface using Streamlit.

Step 1: Setting Up the Project and Installing Dependencies To get started, let’s create a new directory for our project and navigate to it in the terminal:

mkdir gpt4all-chatbot
cd gpt4all-chatbot

Next, create a virtual environment to keep our project’s dependencies isolated. You can use the following command:

pipenv shell

Now, let’s install the required dependencies using pip:

pipenv install langchain langchain_core langchain_community streamlit gpt4all unstructured chromadb

We’ll be using the Langchain library for integrating with GPT4All, langchain_core and langchain_community for additional functionality, and Streamlit for creating the user interface.

#Pipfile

[[source]]
url = "https://pypi.org/simple"
verify_ssl = true
name = "pypi"
[packages]
langchain = "*"
langchain-community = "*"
chromadb = "*"
gpt4all = "*"
streamlit = "*"
unstructured = "*"
[dev-packages]
[requires]
python_version = "3.11"

Step 2: Downloading the GPT4All Model To use GPT4All, we need to download the model file. In this tutorial, we’ll be using the “mistral-7b” model. Create a new directory called “models” in your project directory and download the model file using the following command:

mkdir models
cd models
wget…