semantic search
semantic search ranks documents by meaning instead of exact words. it uses stored document embeddings and same-origin session auth.
quick answer
use semantic search when the user remembers the idea but not the exact phrase.
use this for
- finding related drafts
- searching large accounts
- explaining why results can show without exact keyword matches
steps
- open the dashboard.
- type a query of three or more characters.
- wait briefly while the query debounces.
- review ranked results.
- open the matching document.
details to know
- embeddings are stored separately from documents.
- existing documents can be backfilled.
- autosave avoids re-embedding when the relevant input has not changed enough.
limits and edge cases
- empty documents are not useful for embedding.
- if the embeddings provider fails, local keyword search still works.
ready to use the product instead of reading about it?
open app