AI Customer Support Chatbot

A production-grade AI chatbot using GPT-4 and LangChain for automated customer support, featuring semantic retrieval with FAISS.

Features

• Real-time chat interface with markdown support
• Semantic search using FAISS for contextually relevant answers
• Integration with MongoDB for chat history and analytics
• Sentiment analysis and response tracking
• Scalable microservices architecture

Tech Stack

• Frontend: React + TypeScript
• Backend: Node.js/Express + TypeScript
• AI Service: Python + LangChain + FAISS
• Database: MongoDB
• APIs: OpenAI GPT-4

Prerequisites

• Node.js 16+
• Python 3.8+
• MongoDB
• OpenAI API key

Setup

1. Clone the repository
2. Copy environment files:

   cp python-service/.env.example python-service/.env
   cp backend/.env.example backend/.env

3. Update the environment files with your credentials
4. Install dependencies:
   • Frontend: cd frontend && npm install
   • Backend: cd backend && npm install
   • Python Service: cd python-service && python -m venv venv && source venv/bin/activate && pip install -r requirements.txt

Development

Run all services in development mode:

./dev.sh

Or run services individually:

Frontend

cd frontend
npm run dev

Backend

cd backend
npm run dev

Python Service

cd python-service
source venv/bin/activate
python chatbot_service.py

Project Structure

├── frontend/           # React frontend
├── backend/           # Node.js API gateway
└── python-service/    # Python AI service with LangChain

API Documentation

Chat Endpoint

• POST /api/chat
  • Request: { "query": string, "sessionId": string }
  • Response: { "response": string }

Analytics Endpoint

• GET /api/analytics/common-intents
  • Response: [{ "_id": string, "count": number }]