Semantic Search
Search that understands the meaning of queries rather than just matching keywords.
Definition
Semantic search goes beyond traditional keyword matching to understand the intent and contextual meaning of search queries. Using techniques like vector embeddings and natural language understanding, semantic search can find relevant results even when exact keywords don't match. For example, a search for 'annual revenue' could return documents mentioning 'yearly turnover' or 'fiscal year income'.
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Related terms
Embedding
A numerical representation of text that captures its semantic meaning.
Intelligent Document Processing (IDP)
AI-powered automation that extracts, classifies, and processes data from documents.
Enterprise Search
Search technology designed to find information across an organisation's documents and systems.
More in Core Concepts
Grounding
Connecting AI responses to verified source documents to ensure accuracy.
Hybrid Search
Combining keyword and semantic search for more comprehensive results.
Retrieval Augmented Generation (RAG)
A technique that grounds AI responses in retrieved documents for accurate, cited answers.
AI Citations
References that trace AI-generated answers back to source documents.
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Understanding the terminology is the first step. See how Conductor applies these concepts to solve real document intelligence challenges.
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