AI Customer Support Bot
Intelligent chatbot system with RAG-enhanced responses, successfully handling 5K+ customer queries monthly with an 85% resolution rate.
Intelligent Conversations
Natural language processing with context-aware responses and conversation memory
RAG Integration
Knowledge base integration for accurate, up-to-date information retrieval
Multi-channel Support
Seamless integration with web chat, email, and messaging platforms
Project Overview
Built an AI-powered customer support system that combines LangChain with OpenAI's API to provide intelligent, context-aware responses while maintaining conversation history and integrating with existing knowledge bases.
Key Features
- 85% query resolution rate without human intervention
- Average response time under 3 seconds
- Support for 20+ common customer inquiry types
- Seamless handoff to human agents when needed
Technical Implementation
- React frontend with real-time WebSocket communication
- Node.js backend with Express and MongoDB for conversation storage
- LangChain integration for prompt management and memory
- Vector database for knowledge base search and retrieval
- Admin dashboard for monitoring conversations and analytics
Performance Metrics
- Monthly queries handled: 5,000+ with 99.2% uptime
- Customer satisfaction: 4.2/5 average rating
- Response accuracy: 92% based on user feedback
- Cost reduction: 60% compared to previous support model
Technologies Used
OpenAI API
LangChain
React
Node.js
MongoDB
WebSocket
Express
JWT