Chat Thing

In as little as five minutes, users can create a fully functional AI support assistant that learns from their documentation, FAQs, help articles, and website content, then answers customer questions accurately around the clock.

The technology underpinning Chat Thing is Retrieval-Augmented Generation (RAG), a method that significantly improves AI accuracy over standard language model responses.

When a user asks the chatbot a question, the platform retrieves the most relevant snippets from the indexed knowledge base and uses them to generate a grounded, factual answer.

This architecture dramatically reduces hallucination riskthe chatbot answers from your actual content rather than making things upmaking it suitable for customer support, internal knowledge bases, and product documentation bots.

Chat Thing integrates with a wide variety of data sources including Notion pages, websites, PDFs, Google Docs, and custom text inputs. The platform continuously monitors connected sources for updates, automatically refreshing the chatbot's knowledge whenever content changes.

This means support teams can maintain their existing documentation workflows without any additional stepsthe chatbot stays current automatically rather than requiring manual retraining.

Deployment is equally flexible. Finished chatbots can be embedded on websites, deployed to Discord servers, integrated into Slack workspaces, or accessed via API by developers building custom applications.