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Semantic Search

A retrieval methodology that uses high-dimensional vector embeddings to identify relevant context based on conceptual meaning and intent rather than literal keyword matching. It enables RAG systems to handle synonyms and polysemy, though it faces a trade-off between increased recall and the risk of retrieving 'thematically similar' but factually irrelevant noise.

Definition

A retrieval methodology that uses high-dimensional vector embeddings to identify relevant context based on conceptual meaning and intent rather than literal keyword matching. It enables RAG systems to handle synonyms and polysemy, though it faces a trade-off between increased recall and the risk of retrieving 'thematically similar' but factually irrelevant noise.

Disambiguation

Meaning-based retrieval vs. Keyword-based (Lexical) matching.

Visual Metaphor

"A 3D star map where stars (data points) are physically clustered into constellations based on their chemical composition (meaning) rather than their names."

Conceptual Overview

A retrieval methodology that uses high-dimensional vector embeddings to identify relevant context based on conceptual meaning and intent rather than literal keyword matching. It enables RAG systems to handle synonyms and polysemy, though it faces a trade-off between increased recall and the risk of retrieving 'thematically similar' but factually irrelevant noise.

Disambiguation

Meaning-based retrieval vs. Keyword-based (Lexical) matching.

Visual Analog

A 3D star map where stars (data points) are physically clustered into constellations based on their chemical composition (meaning) rather than their names.

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