Search methodology

Company context in. Explainable SAM.gov matches out.

The agent builds a versioned internal search plan from customer evidence, confirmed facts, labeled inferences, corrections, and feedback. Customers do not have to build filters.

01 · Learn

Separate knowledge types

Customer assertions, inferred capabilities, preferences, evidence, confidence, and confirmation state remain distinct and auditable.

02 · Search

Use structured and semantic signals

Each run records its plan version, filters, semantic query, ingestion watermark, candidate counts, scoring components, exclusions, duration, and errors.

03 · Explain

Never hide the source

Every recommendation includes a concise match reason, an explainable relevance and confidence label, and a link to the authoritative SAM.gov notice.

Quality boundary

No weak-result padding.

If no new record clears the relevance threshold, the brief says so. Feedback changes preferences gradually; a single downvote never silently becomes a permanent exclusion.