Glossary · AI & ML
Semantic Search
Semantic search uses AI embeddings and vector databases to understand query meaning and intent, finding relevant results even when exact keywords don't match.
In short
Semantic Search finds relevant results without requiring exact keyword matches in queries. Common applications include enterprise knowledge search and support article discovery. BespokeWorks deploys Semantic Search solutions for UK businesses, typically live within 7 days.
Definition
What is Semantic Search?
Semantic Search uses AI to understand the actual meaning and intent of search queries, finding relevant results even when exact words don't appear in the content. Powered by embeddings and vector databases, it comprehends context, synonyms, conceptual relationships, and natural language queries, transforming how employees find information and customers discover answers.
Traditional keyword search fails 50-70% of the time for complex queries according to enterprise search benchmarks. Semantic search overcomes this by understanding that "how to reduce staff turnover" should match documents about "employee retention strategies", delivering dramatically higher relevance and user satisfaction.
BespokeWorks implements semantic search solutions for enterprise knowledge bases, customer support portals, and product catalogues. Our deployments combine embedding models, vector databases, and hybrid search (semantic + keyword) to deliver search experiences that understand what users actually mean, reducing time-to-answer by 60-80%.
Where it earns its keep
Real-world applications.
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Enterprise Knowledge Search
Employees find policies, procedures, and documents by asking questions in natural language with no need to guess the right keywords or know where documents are stored.
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Support Article Discovery
Customers find relevant help articles by describing their problem naturally. The search understands intent, context, and related concepts to surface the most helpful content.
Why it matters
Key benefits.
- Finds relevant results without requiring exact keyword matches in queries
- Understands user intent, context, and conceptual relationships automatically
- Dramatically improves information findability and reduces time-to-answer by 60-80%
See how Semantic Search fits your business.
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