This is a Telegram bot that provides answers to user queries using a retrieval-augmented generation approach. It uses the Langchain library for chaining together multiple capabilities including integration with LLMs (e.g. ChatGPT) and FAISS for vector similarity search.
- Clone this repository to your local machine.
- Create a virtual environment for the project:
python3 -m venv venv. - Activate the virtual environment:
source venv/bin/activate. - Install the dependencies:
pip install -r requirements.txt. - Set up the environment variables by creating a
.envfile in the project directory and adding the following lines:
TELEGRAM_TOKEN=<your-telegram-bot-token>
OPENAI_API_KEY=<your-openai-api-key>
- Start the FastAPI app:
uvicorn app.main:app --reload. - Start the Telegram bot:
python telegram_bot.py.
Once you've installed and started the Telegram bot, you can interact with it using the Telegram app. Simply search for the bot in Telegram and start a conversation with it.
To ask the bot a question, type /ask <your-question> in the chat window. The bot will use a retrieval-augmented generation approach to generate an answer to your question.
This project was inspired by the GovTech developer portal, which uses a similar approach to provide answers to user queries. The code for this project was adapted from the Langchain library and other open-source projects.
This project is licensed under the MIT License. See the LICENSE file for more information.