Derisk360
Glossary

Semantic Search

Semantic search finds content by meaning using embeddings — powering RAG retrieval when combined with governance and freshness controls.

Semantic search finds content by meaning using embeddings — powering RAG retrieval when combined with governance and freshness controls.

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ENTERPRISE[ 01 / 02 ]

In regulated enterprise AI

Enterprise semantic search must respect access boundaries and document classification. Derisk360 qualifies indexes during context engineering.

Key takeaways

Semantic Search is essential for governed production AI — not optional for regulated deployments

Pilots that skip this discipline typically stall at proof-of-concept

Derisk360 implements through accelerators with embedded Forward Deployed Engineers

Unified context via MCP and knowledge graphs is Layer 01 of the 4-Layer Stack

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Common questions about Semantic Search

What is Semantic Search?
Semantic search finds content by meaning rather than exact keyword match using embeddings.
Why does Semantic Search matter for enterprise AI deployment?
Semantic Search reduces deployment risk and determines whether agents reach governed production in regulated environments. Without it, pilots stall and compliance teams block go-live.
How does Semantic Search relate to the 4-Layer Intelligence Stack?
Semantic Search maps to one or more layers — context, decisions, actions, or outcomes — in Derisk360's architecture for production agentic systems.
How does Derisk360 implement Semantic Search?
Through structured AI accelerators and embedded FDEs who implement semantic search in your VPC — with evaluation and managed operations built in from day one.
Is this a software product I can licence?
No. Derisk360 is a services firm. You engage for production outcomes through accelerators and implementations, not shelfware.