Struct InMemoryVectorStore 

pub struct InMemoryVectorStore { /* private fields */ }

In-memory vector store for testing purposes.

Data is not persisted and will be lost when the process exits. Uses cosine similarity for vector comparisons.

Implementations

impl InMemoryVectorStore

pub fn new() -> Self

Create a new in-memory vector store.

Trait Implementations

impl Default for InMemoryVectorStore

fn default() -> Self

Returns the “default value” for a type.

impl VectorStore for InMemoryVectorStore

fn provider_name(&self) -> &'static str

Get the name of this vector store provider.

fn create_collection<'life0, 'life1, 'async_trait>( &'life0 self, name: &'life1 str, dimensions: usize, ) -> Pin<Box<dyn Future<Output = Result<()>> + Send + 'async_trait>>

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

Create a new collection with the specified vector dimensions.

fn delete_collection<'life0, 'life1, 'async_trait>( &'life0 self, name: &'life1 str, ) -> Pin<Box<dyn Future<Output = Result<()>> + Send + 'async_trait>>

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

Delete a collection and all its data.

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

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

List all collections in the vector store.

fn collection_exists<'life0, 'life1, 'async_trait>( &'life0 self, name: &'life1 str, ) -> Pin<Box<dyn Future<Output = Result<bool>> + Send + 'async_trait>>

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

Check if a collection exists.

fn collection_stats<'life0, 'life1, 'async_trait>( &'life0 self, name: &'life1 str, ) -> Pin<Box<dyn Future<Output = Result<CollectionStats>> + Send + 'async_trait>>

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

Get statistics about a collection.

fn upsert<'life0, 'life1, 'life2, 'async_trait>( &'life0 self, collection: &'life1 str, documents: &'life2 [Document], ) -> Pin<Box<dyn Future<Output = Result<usize>> + Send + 'async_trait>>

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

Upsert documents with their embeddings into a collection.

fn search<'life0, 'life1, 'life2, 'async_trait>( &'life0 self, collection: &'life1 str, embedding: &'life2 [f32], limit: usize, threshold: f32, ) -> Pin<Box<dyn Future<Output = Result<Vec<SearchResult>>> + Send + 'async_trait>>

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

Search for similar vectors in a collection.

fn delete<'life0, 'life1, 'life2, 'async_trait>( &'life0 self, collection: &'life1 str, ids: &'life2 [String], ) -> Pin<Box<dyn Future<Output = Result<usize>> + Send + 'async_trait>>

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

Delete documents by their IDs.

fn get<'life0, 'life1, 'life2, 'async_trait>( &'life0 self, collection: &'life1 str, id: &'life2 str, ) -> Pin<Box<dyn Future<Output = Result<Option<Document>>> + Send + 'async_trait>>

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

Get a document by ID.

fn search_with_filters<'life0, 'life1, 'life2, 'life3, 'async_trait>( &'life0 self, collection: &'life1 str, embedding: &'life2 [f32], limit: usize, threshold: f32, _filters: &'life3 [(String, String)], ) -> Pin<Box<dyn Future<Output = Result<Vec<SearchResult>>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait, 'life2: 'async_trait, 'life3: 'async_trait,

Search with metadata filters.

fn count<'life0, 'life1, 'async_trait>( &'life0 self, collection: &'life1 str, ) -> Pin<Box<dyn Future<Output = Result<usize>> + Send + 'async_trait>>

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

Count documents in a collection.