Struct BruteForceVectorDB 

pub struct BruteForceVectorDB { /* private fields */ }

In-memory brute-force vector database.

All collections are held in a single tokio::sync::RwLock. Cloning the struct shares the same underlying storage (Arc-backed), so it is safe to hand out to multiple async tasks.

Implementations

impl BruteForceVectorDB

pub fn new() -> BruteForceVectorDB

Construct an empty in-memory vector database.

Trait Implementations

impl Clone for BruteForceVectorDB

fn clone(&self) -> BruteForceVectorDB

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for BruteForceVectorDB

fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>

Formats the value using the given formatter.

impl Default for BruteForceVectorDB

fn default() -> BruteForceVectorDB

Returns the “default value” for a type.

impl VectorDB for BruteForceVectorDB

fn create_collection<'life0, 'life1, 'life2, 'async_trait>( &'life0 self, data_type: &'life1 str, field_name: &'life2 str, dimension: usize, ) -> Pin<Box<dyn Future<Output = Result<(), VectorDBError>> + Send + 'async_trait>>

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

Create a collection for (data_type, field_name) pair

fn has_collection<'life0, 'life1, 'life2, 'async_trait>( &'life0 self, data_type: &'life1 str, field_name: &'life2 str, ) -> Pin<Box<dyn Future<Output = Result<bool, VectorDBError>> + Send + 'async_trait>>

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

Check if collection exists

fn index_points<'life0, 'life1, 'life2, 'life3, 'async_trait>( &'life0 self, data_type: &'life1 str, field_name: &'life2 str, points: &'life3 [VectorPoint], ) -> Pin<Box<dyn Future<Output = Result<(), VectorDBError>> + Send + 'async_trait>>

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

Index data points (batch upsert with embeddings already generated)

fn search_similar<'life0, 'life1, 'life2, 'life3, 'async_trait>( &'life0 self, data_type: &'life1 str, field_name: &'life2 str, query_vector: &'life3 [f32], top_k: usize, ) -> Pin<Box<dyn Future<Output = Result<Vec<SearchResult>, VectorDBError>> + Send + 'async_trait>>

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

Search for similar vectors

fn delete_collection<'life0, 'life1, 'life2, 'async_trait>( &'life0 self, data_type: &'life1 str, field_name: &'life2 str, ) -> Pin<Box<dyn Future<Output = Result<(), VectorDBError>> + Send + 'async_trait>>

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

Delete collection

fn delete_points<'life0, 'life1, 'life2, 'life3, 'async_trait>( &'life0 self, data_type: &'life1 str, field_name: &'life2 str, point_ids: &'life3 [Uuid], ) -> Pin<Box<dyn Future<Output = Result<(), VectorDBError>> + Send + 'async_trait>>

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

Delete points by IDs from an existing collection.

fn collection_size<'life0, 'life1, 'life2, 'async_trait>( &'life0 self, data_type: &'life1 str, field_name: &'life2 str, ) -> Pin<Box<dyn Future<Output = Result<usize, VectorDBError>> + Send + 'async_trait>>

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

Get collection statistics

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

where 'life0: 'async_trait, BruteForceVectorDB: 'async_trait,

List all existing vector collections as (data_type, field_name) pairs.

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

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

Remove all vector collections.

fn batch_search_similar<'life0, 'life1, 'life2, 'life3, 'async_trait>( &'life0 self, data_type: &'life1 str, field_name: &'life2 str, query_vectors: &'life3 [Vec<f32>], top_k: usize, ) -> Pin<Box<dyn Future<Output = Result<Vec<Vec<SearchResult>>, VectorDBError>> + Send + 'async_trait>>

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

Perform multiple vector similarity searches in sequence.