Langchain Conversational Chatbot

The Langchain Conversational Chatbot is a powerful, interactive tool that leverages OpenAI's GPT-3.5-turbo and GPT-4 language models, as well as the Langchain library, to answer questions based on Hong Kong Ordinances. This chatbot is designed to manage conversation history and provide relevant answers using a combination of the OpenAI API and a database of indexed documents.

Features

• Utilizes OpenAI's GPT-3.5-turbo and GPT-4 models for generating answers
• Uses Langchain for document retrieval
• Supports Hong Kong Ordinance-specific text splitter
• Handles chat history to maintain context and improve responses
• Limits conversation tokens to 3850 to comply with OpenAI API limitations

Installation

Clone the repository and install the required dependencies.

git clone https://github.com/Arrabonae/HKLaw-llm-vector_database.git
cd HKLaw-llm-vector_database
pip install -r requirements.txt

Usage

Run the chatbot by executing the main script.

python bot.py

You will be prompted to enter your OpenAI API key. The chatbot will then start, and you can interact with it by typing your questions. To exit the chatbot, type exit. To clear the chat history, type clear.

Configuration

You can configure the chatbot using the following command-line arguments:

• -v or --verbose: Enable verbose mode (default: False)
• -m or --model: Select the model to use (default: gpt-3.5-turbo, options: gpt-3.5-turbo, gpt-4)
• -s or --use-langchain-splitter: Use Langchain's own text splitter instead of the default Hong Kong Ordinances splitter (default: False)

Example usage with command-line arguments:

python chatbot.py --verbose --model gpt-3.5-turbo --use-langchain-splitter

Screenshot

License

This project is licensed under the MIT License.

Acknowledgments

This project is built using the following libraries:

• Langchain
• Hugging Face

We appreciate the work done by the developers of these libraries to make this chatbot possible.