Struct InMemoryStorage 

pub struct InMemoryStorage<E: Embeddings> { /* private fields */ }

In-memory storage implementation.

Implementations

impl<E: Embeddings> InMemoryStorage<E>

pub fn from_documents(embeddings: E, documents: Vec<EmbeddingsData>) -> Self

Creates a new instance of InMemoryStorage.

pub fn from_multiple_documents<T>( embeddings: E, documents: Vec<(T, Vec<EmbeddingsData>)>, ) -> Self

Creates a new instance of InMemoryStorage.

impl<E: Embeddings> InMemoryStorage<E>

pub async fn vector_search( &self, embeddings: Vec<EmbeddingsData>, limit: usize, threshold: f32, ) -> Result<Vec<(DocumentId, f32)>, VectorStoreError>

pub fn build_hnsw(data: &[EmbeddingsData]) -> Hnsw<'static, f64, DistCosine>

Trait Implementations

impl<E: Embeddings> Storage for InMemoryStorage<E>

fn save<'life0, 'async_trait>( &'life0 self, value: String, ) -> Pin<Box<dyn Future<Output = Result<(), VectorStoreError>> + Send + 'async_trait>>

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

Saves a value into the storage.

fn search<'life0, 'life1, 'async_trait>( &'life0 self, query: &'life1 str, limit: usize, threshold: f32, ) -> Pin<Box<dyn Future<Output = TopNResults> + Send + 'async_trait>>

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

Searches the storage with a query, limiting the results and applying a threshold.

fn reset<'life0, 'async_trait>( &'life0 self, ) -> Pin<Box<dyn Future<Output = Result<(), VectorStoreError>> + Send + 'async_trait>>

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

Resets the storage by clearing all stored data.