Zoom Team Chat AI Agent Sample

A Zoom Team Chat bot that leverages LangChain and OpenAI to answer questions about your company using a RAG (Retrieval-Augmented Generation) system.

Features

• Zoom Team Chat integration via webhooks
• Vector database search using Chroma
• Company knowledge base queries
• OpenAI GPT-4o-mini powered responses

Project Structure

Path / File	Description
main.py	Main Zoom Team Chat bot application
zoom/	Zoom Team Chat integration modules
zoom/webhook.py	Webhook handler for Zoom Team Chat events
zoom/client.py	Zoom API client for sending messages
tools/search.py	Vector store initialization and search functionality
docs/	Knowledge base text files
chroma_langchain_db/	Vector database storage

---

Prerequisites

• Python 3.13+
• OpenAI API key
• Zoom Team Chat app with webhook configuration
• uv package manager

Start multiple ngrok endpoints

To run multiple ngrok connections using a configuration file, run:

ngrok http 4001

You should the tunnel traffic:

Quick Start

1. Clone and setup environment

   git clone <repository-url>
   cd zoom-ai-agent
   cp .env.example .env

2. Install dependencies

   uv sync

3. Configure environment variables Edit .env with your keys:

   • OPENAI_API_KEY - Your OpenAI API key
   • ZOOM_CLIENT_ID - Your Zoom app Client ID
   • ZOOM_CLIENT_SECRET - Your Zoom app Client Secret
   • ZOOM_WEBHOOK_SECRET_TOKEN - Your Zoom webhook secret token

4. Add knowledge base Place .txt files in the docs/ directory for the bot to learn from.

5. Run the bot

   uv run python main.py

Usage

Mention the bot in Zoom Team Chat channels or DMs to ask questions about your company. The bot will search the knowledge base and provide relevant answers.

---

Need help?

If you're looking for help, try Developer Support or our Developer Forum. Priority support is also available with Premier Developer Support plans.

Documentation

Make sure to review our documentation as a reference when building your Zoom Apps.