Chatbot for Customer Support (LLM)
Real-time AI chatbot with conversation memory and analytics.
Case Study
Problem Statement
Small businesses can't afford round-the-clock support staff, so common customer questions go unanswered outside working hours, hurting response time and satisfaction.
Our Solution
An LLM-powered chatbot answers FAQs using a knowledge base (RAG — retrieval-augmented generation), remembers conversation context, and logs every conversation for an analytics dashboard.
Features
- ✓RAG pipeline over a custom knowledge base (PDF/FAQ ingestion)
- ✓Conversation memory within a session
- ✓Escalation to a human/lead-capture form when the bot can't answer
- ✓Analytics dashboard: most-asked questions, unresolved queries
- ✓Embeddable chat widget for any website
Technology Stack
How It's Built
- 1
Documents are chunked and embedded into a vector store
- 2
On each user message, relevant chunks are retrieved and passed to the LLM with the conversation history
- 3
FastAPI backend serves the chat endpoint and logs each exchange
- 4
React widget renders the chat UI and can be embedded via a script tag
FAQ
Do I need to pay for API usage?
The project supports both paid APIs (OpenAI/Anthropic) and free local models (via Ollama) — we'll help you pick based on your budget.