Struct EmbeddedVectorStore 

pub struct EmbeddedVectorStore { /* private fields */ }

In-memory brute-force vector store.

Construction

use engram::vector_embedded::EmbeddedVectorStore;

let store = EmbeddedVectorStore::new(128);

Implementations

impl EmbeddedVectorStore

pub fn new(dimensions: usize) -> Self

Create a new store that accepts embeddings of dimensions dimensions.

Trait Implementations

impl VectorStore for EmbeddedVectorStore

fn upsert<'life0, 'async_trait>( &'life0 self, id: FactId, embedding: Vec<f32>, metadata: Value, ) -> Pin<Box<dyn Future<Output = Result<(), MemoryError>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait,

Insert or replace the embedding for id.

fn search<'life0, 'life1, 'life2, 'async_trait>( &'life0 self, query: &'life1 [f32], filter: &'life2 VectorFilter, top_k: usize, ) -> Pin<Box<dyn Future<Output = Result<Vec<VectorMatch>, MemoryError>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait, 'life2: 'async_trait,

Return the top-top_k most similar vectors to query, applying filter constraints. Results are ordered by descending similarity score.

fn delete<'life0, 'async_trait>( &'life0 self, id: FactId, ) -> Pin<Box<dyn Future<Output = Result<(), MemoryError>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait,

Delete the embedding for id. Returns Ok(()) if the id was not found (idempotent).

fn delete_by_scope<'life0, 'life1, 'async_trait>( &'life0 self, _scope: &'life1 Scope, ) -> Pin<Box<dyn Future<Output = Result<u64, MemoryError>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Delete all embeddings associated with scope.