A large, mixed document archive turned into a grounded search experience that returns cited, traceable answers — essential where every answer is accountable.
Staff retrieve authoritative answers fast, with every response traceable to its source.
A large, heterogeneous archive made it slow and error-prone to find authoritative answers, with no traceability back to the source document.
We built hybrid retrieval (vector + keyword) with cross-encoder re-ranking over the archive, citation-backed generation, and an automated evaluation harness to keep answers grounded and auditable.
Authoritative, cited answers retrieved faster, each one traceable to its source. [[Replace with an approved metric.]]
Let's scope what a proof of concept would look like on your data.
