pub trait VectorStore: Send + Sync {
// Required methods
fn add_documents<'life0, 'life1, 'async_trait>(
&'life0 self,
docs: Vec<Document>,
embeddings: &'life1 dyn Embeddings,
) -> Pin<Box<dyn Future<Output = Result<Vec<String>, SynapticError>> + Send + 'async_trait>>
where 'life0: 'async_trait,
'life1: 'async_trait,
Self: 'async_trait;
fn similarity_search<'life0, 'life1, 'life2, 'async_trait>(
&'life0 self,
query: &'life1 str,
k: usize,
embeddings: &'life2 dyn Embeddings,
) -> Pin<Box<dyn Future<Output = Result<Vec<Document>, SynapticError>> + Send + 'async_trait>>
where 'life0: 'async_trait,
'life1: 'async_trait,
'life2: 'async_trait,
Self: 'async_trait;
fn similarity_search_with_score<'life0, 'life1, 'life2, 'async_trait>(
&'life0 self,
query: &'life1 str,
k: usize,
embeddings: &'life2 dyn Embeddings,
) -> Pin<Box<dyn Future<Output = Result<Vec<(Document, f32)>, SynapticError>> + Send + 'async_trait>>
where 'life0: 'async_trait,
'life1: 'async_trait,
'life2: 'async_trait,
Self: 'async_trait;
fn similarity_search_by_vector<'life0, 'life1, 'async_trait>(
&'life0 self,
embedding: &'life1 [f32],
k: usize,
) -> Pin<Box<dyn Future<Output = Result<Vec<Document>, SynapticError>> + Send + 'async_trait>>
where 'life0: 'async_trait,
'life1: 'async_trait,
Self: 'async_trait;
fn delete<'life0, 'life1, 'life2, 'async_trait>(
&'life0 self,
ids: &'life1 [&'life2 str],
) -> Pin<Box<dyn Future<Output = Result<(), SynapticError>> + Send + 'async_trait>>
where 'life0: 'async_trait,
'life1: 'async_trait,
'life2: 'async_trait,
Self: 'async_trait;
}Expand description
Trait for vector storage backends.
Required Methods§
Sourcefn add_documents<'life0, 'life1, 'async_trait>(
&'life0 self,
docs: Vec<Document>,
embeddings: &'life1 dyn Embeddings,
) -> Pin<Box<dyn Future<Output = Result<Vec<String>, SynapticError>> + Send + 'async_trait>>where
'life0: 'async_trait,
'life1: 'async_trait,
Self: 'async_trait,
fn add_documents<'life0, 'life1, 'async_trait>(
&'life0 self,
docs: Vec<Document>,
embeddings: &'life1 dyn Embeddings,
) -> Pin<Box<dyn Future<Output = Result<Vec<String>, SynapticError>> + Send + 'async_trait>>where
'life0: 'async_trait,
'life1: 'async_trait,
Self: 'async_trait,
Add documents to the store, computing their embeddings.
Sourcefn similarity_search<'life0, 'life1, 'life2, 'async_trait>(
&'life0 self,
query: &'life1 str,
k: usize,
embeddings: &'life2 dyn Embeddings,
) -> Pin<Box<dyn Future<Output = Result<Vec<Document>, SynapticError>> + Send + 'async_trait>>where
'life0: 'async_trait,
'life1: 'async_trait,
'life2: 'async_trait,
Self: 'async_trait,
fn similarity_search<'life0, 'life1, 'life2, 'async_trait>(
&'life0 self,
query: &'life1 str,
k: usize,
embeddings: &'life2 dyn Embeddings,
) -> Pin<Box<dyn Future<Output = Result<Vec<Document>, SynapticError>> + Send + 'async_trait>>where
'life0: 'async_trait,
'life1: 'async_trait,
'life2: 'async_trait,
Self: 'async_trait,
Search for similar documents by query string.
Sourcefn similarity_search_with_score<'life0, 'life1, 'life2, 'async_trait>(
&'life0 self,
query: &'life1 str,
k: usize,
embeddings: &'life2 dyn Embeddings,
) -> Pin<Box<dyn Future<Output = Result<Vec<(Document, f32)>, SynapticError>> + Send + 'async_trait>>where
'life0: 'async_trait,
'life1: 'async_trait,
'life2: 'async_trait,
Self: 'async_trait,
fn similarity_search_with_score<'life0, 'life1, 'life2, 'async_trait>(
&'life0 self,
query: &'life1 str,
k: usize,
embeddings: &'life2 dyn Embeddings,
) -> Pin<Box<dyn Future<Output = Result<Vec<(Document, f32)>, SynapticError>> + Send + 'async_trait>>where
'life0: 'async_trait,
'life1: 'async_trait,
'life2: 'async_trait,
Self: 'async_trait,
Search with similarity scores (higher = more similar).
Sourcefn similarity_search_by_vector<'life0, 'life1, 'async_trait>(
&'life0 self,
embedding: &'life1 [f32],
k: usize,
) -> Pin<Box<dyn Future<Output = Result<Vec<Document>, SynapticError>> + Send + 'async_trait>>where
'life0: 'async_trait,
'life1: 'async_trait,
Self: 'async_trait,
fn similarity_search_by_vector<'life0, 'life1, 'async_trait>(
&'life0 self,
embedding: &'life1 [f32],
k: usize,
) -> Pin<Box<dyn Future<Output = Result<Vec<Document>, SynapticError>> + Send + 'async_trait>>where
'life0: 'async_trait,
'life1: 'async_trait,
Self: 'async_trait,
Search by pre-computed embedding vector instead of text query.