Grounded

Point it at a document a general chatbot has never read, such as a contract, a policy, or a research paper, and get answers grounded in that source: every claim cited, every claim checked against a real passage, and an honest “I don’t know” when the document does not say.

Answering from
Built-in corpus (RAG concepts)
Try a sample document
Try one

Why not just ask ChatGPT?

A general chatbot answers from memory and will fill any gap with a confident, plausible-sounding guess. That is fine for trivia and dangerous for a contract, a policy, or a research finding. Grounded answers only from the document you give it, shows the exact passage behind every sentence, and refuses when the document does not hold the answer. Load a sample above, or bring your own document, and check the work yourself.

Your sources, not its memory

Answers are built only from the document you load, so they cannot quietly drift into training-data guesses.

Every claim traced to a quote

A second model checks each sentence against a real passage and flags anything it cannot find in the source.

Refuses instead of bluffing

Ask something the document does not cover and it declines, rather than inventing a confident wrong answer.