Semantic search

Show where every result came from.

Semantic search is harder to audit than keyword search. Results that look right may not be authorized. Mnemo attaches a source UID to every embedded document and returns it on every query.

01Where it applies

The vector-first filter.

If you embed a corpus and let users query it semantically, Mnemo applies. Enterprise knowledge search, legal research, medical literature, support knowledge bases, document discovery.

02Why it matters

Results should include their source.

The retriever cannot distinguish a first-party policy document from a scraped lookalike, a current article from a deprecated one, or curated content from user-generated content.
03What this does

Verified-source badges. Auditable citation chains.

Every document carries a UID identifying its source. Every query returns results paired with a signed provenance chain. Surfacing only verified results is one conditional in your retriever.

04Scope

What Mnemo does not do.

Does not replace your system
Does not tune relevance
Does not moderate content
Does not score document quality

Mnemo focuses on one layer: attaching identity to embeddings and verifying them when they are used.

05Who this is for

CTO at search-heavy products in legal, medical, and enterprise knowledge. Head of Search Engineering. Head of Trust and Safety.

06Why teams adopt it
  • Legal and clinical malpractice exposure now requires provenance controls.
  • FDA-regulated retrieval requires source attribution.
  • Enterprise search RFPs ask for cross-source attribution.
  • Customer-facing search in regulated industries needs citation evidence.

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