What goes wrong
Teams ship “semantic search” and hope. Exact terms miss; fuzzy matches drown exact IDs. Changing a dozen knobs has no evidence trail. When an assistant misses a spec section, there is no shared search screen on the same index to reproduce the miss.
Why it matters
Good retrieval is both keyword and meaning, and it is measurable. You need a way to try two setups on real questions before you change defaults for every client.
What good looks like
A dedicated search experience against the live corpus, a mix of exact-term and similarity search, optional reranking, and a lab so settings changes leave a paper trail.
How Aura Terran helps
Aura Terran pairs search with a built-in UI and tuning workflows so you debug “didn't find it” on the same pipeline assistants use.
- Keyword plus similarity search, with optional reranking
- You control how many results, how strict, and which folders count
- A lab to A/B two setups on your questions; a baseline to catch regressions
Try Aura Terran free
Give AI your project docs without uploading them. Index a folder on Windows and search in minutes.