AI search over research and literature
Retrieval-augmented AI that answers questions from internal reports, notebooks, and literature with citations, within each researcher's access.
Researchers spend hours searching for prior results, methods, and relevant literature. Keyword search misses relevant work, and general AI tools answer confidently without access to the team's own findings or reliable citations.
We build retrieval-augmented search over internal reports, notebooks, and literature collections. Answers cite the sources they draw from, respect each person's existing access, and are evaluated against real questions from the team.
Things to keep in mind
- Answers are only as good as the indexed material. Keep it current.
- Respect licenses for literature and partner content.
- Treat AI answers as starting points to verify.
How it works
Choose collections
Select reports, notebooks, and literature to index.
Index with access
Build the search index with permissions carried through.
Answer with citations
Every answer links to the passages it used.
Evaluate
Test against real questions and refine.
Frequently asked questions
Will it make up citations?
Answers are grounded in retrieved passages and link to them, and evaluations check accuracy. Researchers should still verify.
Can access be restricted by project?
Yes. Retrieval respects the access each person already has.
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