Struct SemanticVector 

pub struct SemanticVector { /* private fields */ }

A semantic vector (simplified - in production, use actual embeddings from a model)

Implementations

impl SemanticVector

pub fn from_text(text: &str) -> Self

Create a new semantic vector from text

In production, this would call an embedding model (OpenAI, Sentence-BERT, etc.) For now, we use a simplified TF-IDF-like approach with semantic word groups

pub fn cosine_similarity(&self, other: &SemanticVector) -> f64

Calculate cosine similarity between two vectors

Trait Implementations

impl Clone for SemanticVector

fn clone(&self) -> SemanticVector

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for SemanticVector

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.