Trait VectorStorage

Source

pub trait VectorStorage {
    // Required methods
    fn store_vector(
        &mut self,
        vector: &[f32],
        metadata: Option<Value>,
    ) -> Result<u64, HnswError>;
    fn store_vector_with_id(
        &mut self,
        id: u64,
        vector: Vec<f32>,
        metadata: Option<Value>,
    ) -> Result<(), HnswError>;
    fn get_vector(&self, id: u64) -> Result<Option<Vec<f32>>, HnswError>;
    fn get_vector_with_metadata(
        &self,
        id: u64,
    ) -> Result<Option<(Vec<f32>, Value)>, HnswError>;
    fn store_batch(&mut self, batch: VectorBatch) -> Result<Vec<u64>, HnswError>;
    fn delete_vector(&mut self, id: u64) -> Result<(), HnswError>;
    fn vector_count(&self) -> Result<usize, HnswError>;
    fn list_vectors(&self) -> Result<Vec<u64>, HnswError>;
    fn clear_vectors(&mut self) -> Result<(), HnswError>;
    fn get_statistics(&self) -> Result<VectorStorageStats, HnswError>;
}

Expand description

Vector storage backend abstraction

Provides unified interface for storing and retrieving vectors across different storage backends. Automatically adapts to the active backend type.

Required Methods§

Source

fn store_vector( &mut self, vector: &[f32], metadata: Option<Value>, ) -> Result<u64, HnswError>

Store a vector with optional metadata

§Arguments

vector - Vector data to store
metadata - Optional JSON metadata

§Returns

Vector ID for future retrieval

§Examples

use serde_json::json;

let vector = vec![1.0, 2.0, 3.0];
let metadata = Some(json!({"source": "test"}));

let vector_id = storage.store_vector(&vector, metadata)?;