There’s probably an answer in those documents. RagForge explores how to find it—and give you a way to check it.
The idea
RAGForge connects a chosen collection of documents to a chatbot that returns answers with source links. The current public demonstration uses an archived collection of Apple product and support pages. Visitors can ask a question and inspect the pages behind the answer; prices are dated observations, not live quotes.
The interesting bit
A confident sentence is easy. Finding the right evidence, keeping its context, and noticing when it isn’t enough: that’s where the work is. The engineering separates retrieval, evaluation, and deployment so a proposed change can be tested before it replaces a working version.
Where it stands
The demonstration is live on Azure. Company projects begin with a conversation about sources, access, and a focused pilot. It is not an instant self-service product, and improving retrieval through human feedback remains an active research and engineering direction.