🧠 Simple LangChain Chatbot 🤖

Welcome to this beginner-friendly tutorial on building a chatbot using LangChain and LangGraph by Drishya!
This project demonstrates how to create a conversational AI bot using Google Gemini AI.

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Features

• Interactive AI chatbot using LangChain + LangGraph
• Uses Google Gemini AI as the language model
• Simple conversation flow: START → chatbot → END
• Step-by-step guide for beginners in Colab or Jupyter Notebook

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Prerequisites

• A Google account and API key (instructions below)
• Python 3.x (for local setup)

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Getting Your Google API Key 🔑

1. Go to Google AI Studio
2. Sign in with your Google account
3. Click Create API Key
4. Copy the key and keep it safe

⚠️ Never share your API key publicly or commit it to GitHub.

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Installation

Option 1: Run in Google Colab (Recommended for Beginners)

• Open the notebook langchain_chatbot_simple.ipynb
• Run the %pip install cell at the top to install all required packages
• Set your API key using the provided cell

Option 2: Run Locally with requirements.txt

1. Clone the repository:

git clone https://github.com/drishyashrestha/Simple-Langchain-Chatbot.git
cd Simple-Langchain-Chatbot

2. Install all dependencies:

pip install -r requirements.txt

3. Set your Google API key in your environment:

export GOOGLE_API_KEY="your_api_key_here"  # Linux / macOS
set GOOGLE_API_KEY="your_api_key_here"     # Windows

Open the notebook in Jupyter and run all cells.

How to Use

Test examples:

send_message("What is LangChain simply?")
send_message("Can you explain Python in simple terms?")
send_message("Write a short poem about robots learning to code")

Interactive chat mode:

Run the interactive cell and type your messages.

Type "quit" to exit the chat.

Resources

LangChain Documentation

LangGraph Documentation

Google AI Studio

License

This project is open-source and free to use for learning purposes.