Struct FaissIndex 

pub struct FaissIndex { /* private fields */ }

FAISS vector index implementation

Implementations

impl FaissIndex

pub fn new(config: FaissConfig) -> Result<Self>

Create a new FAISS index

pub fn train(&self, training_vectors: &[Vec<f32>]) -> Result<()>

Train the FAISS index with sample data

pub fn add_vectors( &self, vectors: Vec<Vec<f32>>, ids: Vec<String>, ) -> Result<()>

Add vectors to the FAISS index

pub fn search( &self, query_vector: &[f32], params: &FaissSearchParams, ) -> Result<Vec<(String, f32)>>

Search for similar vectors

pub fn get_statistics(&self) -> Result<FaissStatistics>

Get performance statistics

pub fn save_index(&self, path: &Path) -> Result<()>

Save index to disk

pub fn load_index(&self, path: &Path) -> Result<()>

Load index from disk

pub fn optimize(&self) -> Result<()>

Optimize index performance

pub fn get_memory_usage(&self) -> Result<usize>

Get current memory usage

pub fn dimension(&self) -> usize

Get the dimension of vectors in the index

pub fn size(&self) -> usize

Get the number of vectors in the index

Trait Implementations

impl VectorIndex for FaissIndex

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

Insert a vector with associated URI

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

Find k nearest neighbors

fn search_threshold( &self, query: &Vector, threshold: f32, ) -> Result<Vec<(String, f32)>>

Find all vectors within threshold similarity

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

Get a vector by its URI

fn add_vector( &mut self, id: VectorId, vector: Vector, _metadata: Option<HashMap<String, String>>, ) -> Result<()>

Add a vector with associated ID and metadata

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

Update an existing vector

fn update_metadata( &mut self, _id: VectorId, _metadata: HashMap<String, String>, ) -> Result<()>

Update metadata for a vector

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

Remove a vector by its ID