AI that cites its sources, so you can trust the answer
Hallucinated answers are the biggest reason not to trust AI with real work. Silas answers only from your own documents and backs every claim with a citation you can click and verify.
How grounded, cited answers work
Grounded retrieval first
Before answering, Silas searches your documents for the passages that actually address the question — it never answers from the model’s imagination alone.
A citation on every claim
Each part of the answer links to the file, page, and section it came from. Citations are generated from real retrieved passages, never invented.
Verify in one click
Click any citation to see the original passage in context. Checking the AI takes seconds instead of re-reading the document yourself.
“I don’t know” is an answer
When your documents don’t contain the answer, Silas tells you — instead of confidently inventing something that sounds right.
Why citations beat “trust me”
A confident answer with no source is a coin flip: maybe the model read your document carefully, maybe it filled the gap with something plausible. For contracts, research, financial reports, or anything you'll be held accountable for, that's not good enough.
Grounding changes the deal. When every claim links back to a real passage in your own files, you don't have to trust the AI — you can check it. And because the citation layer works across Claude, Gemini, GPT, and DeepSeek, you get verifiable answers no matter which model you prefer. Try it on your own PDFs, or see how this compares to NotebookLM.
Frequently asked questions
Why do AI chatbots hallucinate?
Large language models generate the most plausible-sounding continuation of a conversation, whether or not it is true. Without being grounded in real source material, they will confidently fill gaps with invented facts, citations, and numbers.
How does Silas prevent hallucinated answers?
Silas retrieves the relevant passages from your own documents first, then instructs the model to answer only from those passages. Every claim carries a citation to the file, page, and section it came from. If your documents don’t contain the answer, Silas says so instead of making one up.
Can I check where an answer came from?
Yes. Every citation is clickable and shows the original passage in context — the exact file, page, and section — so you can verify the answer yourself in seconds.
Does this work with any AI model?
Yes. The citation layer sits underneath the model, so answers from Claude, Gemini, GPT, and DeepSeek are all grounded in your documents and cited the same way.
What kinds of documents can ground the answers?
PDFs, Word documents, spreadsheets, and images, plus files synced from Google Drive and Microsoft 365 on paid plans. Everything you add becomes verifiable source material for future answers.