Semantic search for researchers
Find it by meaning, not by memory.
Describe an argument the way you remember it and the right note comes back. No naming convention to keep up with across a literature review, and no scrolling through interviews and field notes you filed months ago.
Meaning based search across everything you have ever written
Exact matches still work when you know the term
Narrow down by folder, tag or date when you know where to look
The same search on desktop and on your phone
No naming convention to keep up
Your filing can be a mess. Search reads what the note is about.
Best match first
Results are ranked by how close they are to what you described.
Folders and tags when you want them
Structure helps, it is just no longer the only way back to a note.
Results
Three things that stop being a problem
Feature lists are easy to write and hard to care about. This is what changes for researchers.
Stop rereading papers you already annotated
Ask what your notes say about a method and get the answer with the note it came from, ready to cite.
Turn interviews into text the same day
Record the session, get a transcript in the note, and code it while it is still fresh.
See how the threads connect
Link notes to each other and use the graph view to spot the argument forming across a year of reading.
In practice
What that looks like for researchers
A few moments in a normal week where the app earns its place.
Reading a new paper
Drop the PDF into a note, write alongside it, and tag it into the theme it belongs to.
Fieldwork day
Record on the phone, add photos, and let it all sync back to the desk copy.
Writing up
Ask for every note that touches a concept, then pull the quotes into the draft.
The rest of the app
What Else Grape Does
Every part of the app is built around the same idea: keep what you write, and hand it back when you need it.
AI Agent
Chat that reads your library and can act on it
Open
Voice and transcription
Meetings and lectures become searchable text
Open
Flashcards
Decks built from the notes you wrote
Open
Quizzes
Test yourself before it counts
Open
Mind maps
One note laid out as a map
Open
Graph view
How your whole library connects
Open
Ask what you already read.
Papers, interviews, field notes and half formed arguments in one local library you can question in plain language, months after you filed them.