Struct MemoryMappedVectorIndex 

pub struct MemoryMappedVectorIndex { /* private fields */ }

Memory-mapped vector index for large datasets

Implementations

impl MemoryMappedVectorIndex

pub fn new<P: AsRef<Path>>(path: P, config: IndexConfig) -> Result<Self>

Create a new memory-mapped vector index

pub fn load<P: AsRef<Path>>(path: P, config: IndexConfig) -> Result<Self>

Load an existing memory-mapped index

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

Save URI mappings to disk

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

Compact the index file by removing deleted entries

pub fn stats(&self) -> MemoryMappedIndexStats

Get index statistics

pub fn set_lazy_loading(&mut self, enabled: bool)

Enable or disable lazy loading

pub fn advanced_stats(&self) -> Option<MemoryMapStats>

Get advanced memory mapping statistics

pub fn configure_numa(&mut self, numa_enabled: bool)

Configure NUMA allocation preferences

Trait Implementations

impl Drop for MemoryMappedVectorIndex

fn drop(&mut self)

Executes the destructor for this type.

impl VectorIndex for MemoryMappedVectorIndex

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