Reliability is a key challenge in AI assistants. We present a guide to building a chatbot with Anthropic's Claude that responds exclusively from your documents, eliminating hallucinations. This method is ideal for creating specialized support, moderating communities with internal rules, or querying knowledge bases, ensuring control and precision in every digital interaction.
Step-by-Step Technical Setup 🛠️
The process begins by preparing your sources in text files, PDFs, or images. Organize them in a folder. Within the Claude platform, create a new Project, an independent workspace. Upload all documents in the Files section. The key is in the Project Instructions: write a clear directive ordering Claude to limit its responses strictly to the information contained in the uploaded files, without using external knowledge. This way, the model specializes in your content.
Towards a Controlled and Socially Useful AI 🤖
This technique goes beyond the technical. It responds to the social need for reliable AI, where control over the source of information is crucial. By anchoring knowledge to verified documents, risks of misinformation are mitigated, creating predictable assistants for managing online communities or internal support, fostering safer and more grounded digital interactions.
How can we guarantee the reliability and precision of a Claude-based chatbot when fed with sensitive corporate documents?
(P.S.: the Streisand effect in action: the more you prohibit it, the more it's used, like microslop)