Struct SemanticEntityMerger 

pub struct SemanticEntityMerger { /* private fields */ }

Entity merger using semantic similarity and optional LLM

Implementations

impl SemanticEntityMerger

pub fn new(similarity_threshold: f64) -> Self

Create a new semantic entity merger

pub fn with_llm_client(self, client: OllamaClient) -> Self

Add an LLM client for intelligent merging

pub fn with_max_tokens(self, max_tokens: usize) -> Self

Set maximum tokens for entity descriptions

pub async fn group_similar_entities( &self, entities: &[Entity], ) -> Result<Vec<Vec<Entity>>>

Group entities by semantic similarity for potential merging

pub async fn decide_merge( &self, entity_group: &[Entity], ) -> Result<EntityMergeDecision>

Use LLM to decide if entities should be merged and how

pub fn merge_entities( &self, entities: Vec<Entity>, decision: &EntityMergeDecision, ) -> Result<Entity>

Perform the actual entity merging based on decision

pub fn get_statistics(&self) -> MergingStatistics

Get merging statistics

Trait Implementations

impl Clone for SemanticEntityMerger

fn clone(&self) -> SemanticEntityMerger

Returns a duplicate of the value.

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

Performs copy-assignment from source.