We Just Launched a Tom’s Hardware AI Chatbot. Here's Why

TL;DR (from the article)

How the HammerBot Works

We also want to share details about how HammerBot works on the backend. Right now, our developers are using OpenAI’s text-davinci-003 model, otherwise known as GPT-3, trained on a custom dataset of our articles. The data is stored in a vector database from Weaviate and the bot is coded primarily with Python, using LangChain, a framework that makes it easy to customize AI output.

When you enter a prompt, the server queries against the dataset that’s stored in Weaviate to get the search results. Those are then sent to the LLM to help it develop a consistent response to your question.

A lot of chatbots will talk to you about anything on Earth. But don’t ask HammerBot for a knitting pattern! It’s designed to have limits on what it will talk about; it focuses on the expertise you can only get from Tom’s Hardware, so it may say it doesn’t know or can’t answer if prompts that fall outside of its training.