Support AI Bot
AI-Powered Telegram Customer Support System with GPT-4 & Admin Dashboard
Private
Overview
Support AI Bot is a comprehensive AI-powered customer support automation system built for Telegram, featuring an intelligent chatbot backed by GPT-4 and a sophisticated Next.js admin panel for knowledge base management. The system combines RAG (Retrieval-Augmented Generation) with semantic vector search to deliver context-aware, accurate responses — reducing support overhead and enabling 24/7 automated assistance.
Key Features
- Context-aware multi-turn conversations with memory via Telegram bot
- RAG architecture using OpenAI embeddings (text-embedding-ada-002) and MongoDB Atlas Vector Search
- Multi-format knowledge base ingestion: PDF, TXT, MD, JSON and Telegram channel exports
- Human escalation with automatic intent detection and admin Telegram notification
- Admin feedback loop — mark responses correct/incorrect and improve AI over time
- JWT-authenticated Next.js admin panel with chat history, analytics and file management
- YouTube video reference system with intelligent matching to support responses
- Automated chunking (2000 chars) and embedding pipeline for new documents
- Role-based access control with bcrypt-secured authentication
Challenges
- Building a reliable RAG pipeline that retrieves relevant context from a growing knowledge base
- Handling multi-turn conversation state across Telegram sessions
- Designing an admin feedback loop that meaningfully improves AI response quality
- Supporting multiple document formats with consistent parsing and chunking
- Ensuring human escalation triggers accurately without over-escalating
Solutions
- Implemented MongoDB Atlas Vector Search with OpenAI embeddings for semantic document retrieval
- Stored conversation context per-user in MongoDB for persistent multi-turn memory
- Built an admin panel with response review, correction, and re-embedding workflows
- Developed unified document parsers for PDF, TXT, MD, JSON and Telegram export formats
- Used keyword and intent-based detection logic for smart human escalation routing