Pulse
RAG-powered support copilot
This is an illustrative sample project that shows how we approach this kind of build. It is not a client engagement, and it does not report real results.
The Problem
Support tickets were piling up faster than the team could answer them, and a bare LLM chatbot they'd trialed kept confidently inventing answers that weren't in their actual documentation — worse than no chatbot at all.
The Solution
Built a retrieval-augmented pipeline that grounds every answer in the client's real docs, tickets, and changelog via pgvector similarity search, with the LLM instructed to say 'I don't know' rather than fill gaps — cutting hallucination risk while still resolving the majority of tickets automatically.
Technical Architecture
Planning something similar? See our e-commerce development and full-stack web development services, or start a project.