Struct QdrantVectorIndex 

pub struct QdrantVectorIndex { /* private fields */ }

Async vector index backed by a Qdrant collection.

The collection is created on construction (Cosine distance) if it does not already exist. All operations are async over the official qdrant-client.

Implementations

impl QdrantVectorIndex

pub async fn new(url: &str, collection: &str, dim: usize) -> Result<Self>

Connect to url (e.g. http://localhost:6334) and ensure collection exists with a Cosine-distance vector config of dim dimensions.

pub async fn delete_collection(&self) -> Result<()>

Drop the collection (useful for test cleanup or full reset).

Trait Implementations

impl AsyncVectorIndex for QdrantVectorIndex

fn add<'life0, 'life1, 'life2, 'async_trait>( &'life0 self, vectors: &'life1 [Vec<f32>], ids: &'life2 [u64], ) -> Pin<Box<dyn Future<Output = Result<()>> + Send + 'async_trait>>

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

Upsert vectors keyed by their explicit external IDs.

fn remove<'life0, 'life1, 'async_trait>( &'life0 self, ids: &'life1 [u64], ) -> Pin<Box<dyn Future<Output = Result<()>> + Send + 'async_trait>>

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

Remove vectors by their external IDs.

fn search<'life0, 'life1, 'async_trait>( &'life0 self, query: &'life1 [f32], k: usize, ) -> Pin<Box<dyn Future<Output = Result<Vec<SearchHit>>> + Send + 'async_trait>>

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

Search for the k nearest neighbors of query.

fn search_filtered<'life0, 'life1, 'life2, 'async_trait>( &'life0 self, query: &'life1 [f32], k: usize, allowlist: &'life2 [u64], ) -> Pin<Box<dyn Future<Output = Result<Vec<SearchHit>>> + Send + 'async_trait>>

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

Search restricted to an allowlist of candidate IDs.

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

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

Number of vectors currently indexed.

fn dim(&self) -> usize

Vector dimensionality.

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

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

Whether the index is empty.