I Built an AI-Powered Q&A System for Customer Support While Running a CPG Brand

Mar 24
1 min read

While my last business was CPG, I never stopped sharpening my tech skills. A while back, I built an AI-powered Q&A system using LLMs so customer support agents could ask a question and instantly give the same, consistent answer every time to our customers.

Image 1: the interface customer care reps use to ask questions and instantly get approved responses.

The Radiant Rhino Q&A interface showing a customer support agent entering a question about a missing order and receiving an approved response instantly.

Image 2: the behind-the-scenes architecture, including embeddings, vector search, and an LLM doing the heavy lifting.

Architecture diagram of an LLM-powered customer support system showing the full pipeline from CSV data ingestion through Hugging Face embeddings, FAISS vector search, RetrievalQA, and an LLM generating the final answer.

CPG brain. AI muscle. Code is up on my GitHub.

Recent Posts

See All

How Ecommerce Brands Are Replacing Ad Agencies With AI Workflows

Creative agencies are being replaced by workflows. The old process: brief a creative agency, wait two weeks, pay a large invoice, hope it converts. The new process: pull the best-performing ads from t

Why the Way You Ask Questions Determines What You Learn

I was browsing the Wispr Flow website and noticed something that stopped me mid-scroll. They have a section that says "Still not sure that Wispr Flow is right for you?" with buttons to ask ChatGPT, Cl

What a PhD and a Shopify Store Taught Me About Ecommerce Data

I built a physical product business. But I never stopped being a programmer. I've been writing code for decades. My PhD research was built on data and AI. So was my product company. When I launched Th

Comments