Lilly Tech Systems
Build an AI Customer Support Bot
Build a production-ready AI support bot that answers customer questions using your knowledge base, tracks conversations, escalates to human agents when needed, and integrates with web, Slack, and email — all in 5 hands-on steps.
What You Will Build
A multi-channel AI support bot that answers questions from your docs, tracks conversations, and hands off to humans when it cannot help.
Knowledge Base
Ingest FAQs, docs, and past tickets into a vector store for instant retrieval.
Conversation Engine
RAG-powered answers with context tracking, slot filling, and follow-up handling.
Smart Escalation
Detect when AI cannot help and route to the right human agent with full context.
Analytics
Resolution rate, CSAT scores, common topics, and cost savings dashboard.
Tech Stack
Production-grade tools. Total cost: under $10/month for most teams.
Python 3.11+
Backend API, conversation engine, and analytics pipeline.
FastAPI
Async web framework for the API, webhooks, and widget serving.
LangChain
Document loaders, vector store integration, and RAG pipeline orchestration.
PostgreSQL
Conversation history, ticket tracking, and analytics data storage.
Build Steps
Follow these in order. Each builds on the previous one.
1. Project Setup
Install LangChain, FastAPI, PostgreSQL and set up the multi-channel bot architecture.
2. Knowledge Base
Ingest FAQ, documentation, and past tickets into a vector store for retrieval.
3. Conversation Engine
RAG-powered answers with context tracking, slot filling, and follow-ups.
4. Escalation & Handoff
Detect when AI cannot help and route to human agents with full context.
5. Multi-Channel
Web widget, Slack integration, and email channel support.
6. Analytics Dashboard
Resolution rate, CSAT, common topics, and cost savings tracking.
7. Enhancements
Multi-language, sentiment detection, proactive support, and FAQ.