Chainstack AI Telegram bot

AI-powered Telegram bot all knowing about Chainstack docs. It uses GPT 3.5/4 and context stored using Actvieloop's Deep Lake as a vector database.

• index.py is run to index the data from the docs.
• main.py is the bot script itself.

Quickstart

• Clone the repo

git clone https://github.com/soos3d/chainstack-tg-ai-bot.git

• Create a new Python virtual environment

python3 -m venv chainstack-ai-tg

• Activate the virtual environment

source chainstack-ai-tg/bin/activate

• Install dependencies

pip install -r requirements.txt

• Add Telegram bot token and username, API keys, and Deep Lake account path to .env.example and rename .env

# Bot config
CHAINSTACK_BOT_TOKEN="BOT_TOKEN_FROM_BOTFATHER" # Chainstack_AI_bot token
CHAINSTACK_BOT_USERNAME="@USERNAME"

# OpenAI
OPENAI_API_KEY="OPENAI_KEY"
EMBEDDINGS_MODEL="text-embedding-ada-002"
LANGUAGE_MODEL="gpt-3.5-turbo" # gpt-4 gpt-3.5-turbo-0613

# Scrape settings
SITE_MAP="https://docs.chainstack.com/sitemap.xml"
URLS_FILTER="https://docs.chainstack.com/reference/"

# Deeplake vector DB
ACTIVELOOP_TOKEN="ACTIVELOOP_TOKEN"
DATASET_PATH="hub://USER_ID/custom_dataset" # "./local_chainstack_docs_db"  # Edit with your user ID if you want to use the cloud db. or use the `./` for a local instance.

• Run the index file to scrape the docs and store them

python3 index.py

• Run the main file to start the bot

python3 main.py