Struct VectorStore 

pub struct VectorStore { /* private fields */ }

Enhanced vector store with embedding management and advanced features

Implementations

impl VectorStore

pub fn new() -> Self

Create a new vector store with default memory index

pub fn with_embedding_strategy(strategy: EmbeddingStrategy) -> Result<Self>

Create vector store with specific embedding strategy

pub fn with_index(index: Box<dyn VectorIndex>) -> Self

Create vector store with custom index

pub fn with_index_and_embeddings( index: Box<dyn VectorIndex>, strategy: EmbeddingStrategy, ) -> Result<Self>

Create vector store with custom index and embedding strategy

pub fn with_config(self, config: VectorStoreConfig) -> Self

Set vector store configuration

pub fn index_resource(&mut self, uri: String, content: &str) -> Result<()>

Index a resource with automatic embedding generation

pub fn index_rdf_resource( &mut self, uri: String, label: Option<String>, description: Option<String>, properties: HashMap<String, Vec<String>>, ) -> Result<()>

Index an RDF resource with structured content

pub fn index_vector(&mut self, uri: String, vector: Vector) -> Result<()>

Index a pre-computed vector

pub fn similarity_search( &self, query: &str, limit: usize, ) -> Result<Vec<(String, f32)>>

Search for similar resources using text query

pub fn similarity_search_vector( &self, query: &Vector, limit: usize, ) -> Result<Vec<(String, f32)>>

Search for similar resources using a vector query

pub fn threshold_search( &self, query: &str, threshold: f32, ) -> Result<Vec<(String, f32)>>

Find resources within similarity threshold

pub fn advanced_search( &self, options: SearchOptions, ) -> Result<Vec<(String, f32)>>

Advanced search with multiple options

pub fn embedding_stats(&self) -> Option<(usize, usize)>

Get embedding manager statistics

pub fn build_vocabulary(&mut self, documents: &[String]) -> Result<()>

Build vocabulary for TF-IDF embeddings

pub fn calculate_similarity(&self, uri1: &str, uri2: &str) -> Result<f32>

Calculate similarity between two resources by their URIs

pub fn get_vector(&self, id: &str) -> Option<&Vector>

Get a vector by its ID (delegates to VectorIndex)

Trait Implementations

impl Default for VectorStore

fn default() -> Self

Returns the “default value” for a type.

impl VectorStoreTrait for VectorStore

fn insert_vector(&mut self, id: VectorId, vector: Vector) -> Result<()>

Insert a vector with metadata

fn add_vector(&mut self, vector: Vector) -> Result<VectorId>

Add a vector and return its ID

fn get_vector(&self, id: &VectorId) -> Result<Option<Vector>>

Get a vector by its ID

fn get_all_vector_ids(&self) -> Result<Vec<VectorId>>

Get all vector IDs

fn search_similar( &self, query: &Vector, k: usize, ) -> Result<Vec<(VectorId, f32)>>

Search for similar vectors

fn remove_vector(&mut self, id: &VectorId) -> Result<bool>

Remove a vector by ID

fn len(&self) -> usize

Get the number of vectors stored

fn is_empty(&self) -> bool

Check if the store is empty