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@@ -61,6 +61,16 @@ When a user submits a query, the system enforces groundedness through a multi-l
of the cited chunks. The similarity is calibrated to a 0–1 scale and averaged, producing a single
groundedness score that is surfaced to the user with a visual indicator (green/yellow/red).
## Similarity Metrics for Semantic Understanding
Cosine similarity measures how closely two vectors (representing data like words, images, or preferences) are aligned in a multi-dimensional space by calculating the cosine of the angle between them.
Archetypical cosine scores range from -1 to 1.
1: Vectors point in the exact same direction (highly similar).
0: Vectors are at a 90-degree angle (orthogonal/unrelated).
-1: Vectors point in opposite directions.
## Design
Two-package monorepo: