Your sources. Your evidence.

Research withoutlosing the thread.

An AI research assistant that searches your own library of papers, articles and documents. Because it is RAG, it does not invent: every answer is retrieved from the research you provided — and if those documents do not contain an answer, it says so.

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Open beta · Sign in if you already have access · Cited back to your library

Paper 01

Review

Study

Notes

Paper 08

Methods

Paper 11

Dataset

Results

Paper 14

A better way to work through a body of research.

Instead of searching the open web, the assistant works inside the material you give it. It does not guess, fill gaps, or borrow from training-data lore — only from the corpus in front of it.

Build your library

Bring together the papers, articles and documents that matter to your research.

Ask across sources

Move beyond keyword search and ask natural-language questions across the full collection.

Trace the evidence

Every returned claim can be followed back to a passage in your documents — not a black-box guess.

Connect the literature

Surface recurring findings, differences and relationships that are easy to miss one paper at a time.

It will not invent what your library does not contain.

Research RAG is retrieval-augmented generation: it answers only from the research documentation you provide. There is no open-web guessing, and no filling in the gaps with something that merely sounds plausible.

Retrieved, not guessed

Answers are assembled from passages in your corpus. If Research RAG returns a claim, it came from the papers, articles or documents you uploaded.

Cited back to the page

You can follow each answer to its supporting source material, so trust sits in the evidence — not in the model’s confidence.

Silence over speculation

When the collection does not contain an answer, Research RAG says it does not know. It will not hallucinate one to keep the conversation going.

If it is not in your library, Research RAG will not invent it.

From a shelf of documents to a grounded answer. Never a hallucination.

Research RAG only answers from the research you uploaded. If that collection cannot support a reply, it says so. It will not invent an answer to fill the silence.

Add your research

Your papers become the only source of truth. The assistant cannot reach outside this collection to guess.

Ask a real question

It retrieves from those documents before it writes a word — not from model memory, and not from the open web.

Evidence, or an honest no

If the sources support an answer, you get it with a trail. If they do not, Research RAG says it does not know. Nothing is fabricated.

Open beta

Your research already contains the answers. Find them.

Tell us a little about your work and we will follow up if it is a fit. If you already have an account, sign in.