Struct EmbeddingIndex 

pub struct EmbeddingIndex { /* private fields */ }

Simple TF-IDF style embedding index for semantic search. In production, replace with sentence-transformer embeddings. Stores term frequency vectors per document.

Implementations

impl EmbeddingIndex

pub fn new() -> Self

pub async fn index(&self, doc_id: impl Into<String>, text: &str)

Index a document by its text content

pub async fn remove(&self, doc_id: &str)

Remove a document from the index

pub async fn search(&self, query: &str, top_k: usize) -> Vec<(String, f32)>

Search for the top-k most relevant documents using TF-IDF cosine similarity

Trait Implementations

impl Default for EmbeddingIndex

fn default() -> Self

Returns the “default value” for a type.