Struct SqliteSparseStore 

pub struct SqliteSparseStore { /* private fields */ }

SQLite-backed sparse vector store.

Implementations

impl SqliteSparseStore

pub fn new( pool: Arc<ConnectionPool>, is_file_backed: bool, model_key: String, namespace: String, ) -> Result<Self, SqliteError>

Create a new sparse store for the given model key and namespace.

Trait Implementations

impl SparseStore for SqliteSparseStore

fn insert_sparse<'life0, 'life1, 'life2, 'async_trait>( &'life0 self, subject_id: Uuid, kind: SubstrateKind, namespace: &'life1 str, field: &'life2 str, vector: SparseVector, ) -> Pin<Box<dyn Future<Output = Result<(), StorageError>> + Send + 'async_trait>>

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

Insert a single sparse vector for a subject.

fn insert_batch<'life0, 'async_trait>( &'life0 self, records: Vec<SparseRecord>, ) -> Pin<Box<dyn Future<Output = Result<BatchWriteSummary, StorageError>> + Send + 'async_trait>>

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

Insert a batch of sparse vector records.

fn delete<'life0, 'async_trait>( &'life0 self, subject_id: Uuid, ) -> Pin<Box<dyn Future<Output = Result<bool, StorageError>> + Send + 'async_trait>>

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

Delete the sparse vector for a subject.

fn search_sparse<'life0, 'async_trait>( &'life0 self, request: SparseSearchRequest, ) -> Pin<Box<dyn Future<Output = Result<Vec<SparseSearchHit>, StorageError>> + Send + 'async_trait>>

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

Search over sparse vectors using a sparse query.

fn count<'life0, 'async_trait>( &'life0 self, ) -> Pin<Box<dyn Future<Output = Result<u64, StorageError>> + Send + 'async_trait>>

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

Count total sparse vector entries.