Vector and hybrid retrieval
Dense similarity and keyword search run together so exact terms aren't lost inside semantic matches.
CAPABILITIES / AGENT AND LANGUAGE SYSTEMS
Retrieval and grounding
Answers tied to your sources, with citations, so a reviewer can check the reasoning rather than trust it.
What this covers
Document parsing and chunking
Parsers preserve headings, tables, and source coordinates before content is split for retrieval.
Reranking
A second-stage ranker scores the candidate passages against the full question before generation starts.
Citation and evidence packs
Each answer carries source links and quoted spans that a reviewer can verify in context.
Freshness and reindexing
Change feeds and scheduled jobs replace stale embeddings without rebuilding the entire index.
How it shows up in the work
ENTERPRISESMove governed AI into production.A review queue is a place where trained people apply rules to a stream of items. Agents can carry most of that load, if every decision arrives with the evidence behind it.ENTERPRISESOne platform for a growing agent workforce.The first agent is a project. The tenth is a platform problem. Shared retrieval, model routing, monitoring, and tuning are what make the second agent take weeks instead of months.NATIONSGive leaders a clear view of ground truth.The problem is rarely a shortage of data. It's that the official record, what's actually happening on the ground, and what people are reporting all live in different places.
WHERE IT FITS
Discovery identifies the source set; the retrieval baseline is then measured inside a proof of value.
