AI Customer Support Agent

A white-label AI customer support agent that uses GPT-4 with retrieval-augmented generation (RAG) to answer customer questions using your documentation, knowledge base, and past tickets — reducing support volume by 70%+.

What's Included — Full Source Code:

• Complete TypeScript source code
• RAG pipeline with vector embeddings
• Chat widget (embeddable)
• Admin dashboard for training and monitoring
• Docker deployment

Core Features:

• RAG-powered answers — ingests your docs, FAQs, and past tickets into a vector database, retrieves relevant context, and generates accurate answers
• Multi-channel — embeddable chat widget, API endpoint, email ingestion, and Slack/Discord integration
• Smart escalation — detects when it can't confidently answer and routes to a human agent with full context summary
• Conversation memory — maintains context across multi-turn conversations
• Feedback loop — human agents rate AI responses; the system learns and improves over time
• Canned actions — trigger refunds, update tickets, check order status via API integrations

Admin Dashboard:

• Conversation history with AI confidence scores
• Knowledge base management (upload docs, URLs, PDFs)
• Analytics: resolution rate, avg response time, escalation rate
• A/B testing different prompts and models
• Cost tracking per conversation

Customisation:

• White-label — your branding, your domain
• Custom persona and tone of voice
• Configurable guardrails (topics to avoid, response length)
• Multi-language support (50+ languages)

Tech Stack:

• TypeScript + Next.js
• OpenAI GPT-4 / GPT-4o
• Pinecone or Qdrant vector database
• PostgreSQL for conversations and analytics
• Redis for session state
• Docker Compose

Deploy your own AI support agent. Reduce ticket volume. Ship faster.