Rated 5.0 · shipped to a live product
Natural-Language Query Layer for Property Search
Users describe the property in a sentence; the system resolves it into the structured query underneath — against a schema that has to return exact results.
The problem
A property search platform had the data and it had the filters, but users still had to translate what they wanted into a filter panel before the system could help them. Every search started with the user doing the work of a query planner.
What we built
A natural-language query layer on top of the existing schema: the user describes the property in a sentence, and the system resolves that into the structured query underneath. Delivered as a fixed-price engagement and rated 5.0.
Before
- Users translate wants into filters
- Search must return exact matches
- A missed listing is a visible bug
After
Rated 5.0 · shipped to a live product
Stack
NL2SQLNLPFastAPIAI AppWhy it holds up
The interesting work is not the language model, it is the mapping between loose human phrasing and a schema that has to return exact results. Search is unforgiving in a way chat is not — a listing that should have matched and did not is a bug the user notices immediately, and there is no graceful hedge available.
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