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Jaccard Similarity

A lexical similarity metric defined as the size of the intersection divided by the size of the union of two token sets, used in RAG to evaluate keyword overlap. While computationally efficient for deduplication and exact-match filtering, it lacks semantic awareness, failing to recognize synonyms that vector-based embeddings would capture.

Definition

A lexical similarity metric defined as the size of the intersection divided by the size of the union of two token sets, used in RAG to evaluate keyword overlap. While computationally efficient for deduplication and exact-match filtering, it lacks semantic awareness, failing to recognize synonyms that vector-based embeddings would capture.

Disambiguation

Measures set-based keyword overlap rather than semantic vector direction.

Visual Metaphor

"A Venn diagram where the score is the ratio of the shared overlapping area to the total combined area of both circles."

Key Tools
Scikit-learnNLTKDatasketchElasticsearchMinHash
Related Connections

Conceptual Overview

A lexical similarity metric defined as the size of the intersection divided by the size of the union of two token sets, used in RAG to evaluate keyword overlap. While computationally efficient for deduplication and exact-match filtering, it lacks semantic awareness, failing to recognize synonyms that vector-based embeddings would capture.

Disambiguation

Measures set-based keyword overlap rather than semantic vector direction.

Visual Analog

A Venn diagram where the score is the ratio of the shared overlapping area to the total combined area of both circles.

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