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use crate::qdrant::{
DiscoverBatchPoints, DiscoverBatchResponse, DiscoverPoints, DiscoverResponse,
RecommendBatchPoints, RecommendBatchResponse, RecommendGroupsResponse, RecommendPointGroups,
RecommendPoints, RecommendResponse, SearchBatchPoints, SearchBatchResponse,
SearchGroupsResponse, SearchPointGroups, SearchPoints, SearchResponse,
};
use crate::qdrant_client::{Qdrant, QdrantResult};
/// # Search operations
///
/// <div class="warning">
/// For searching, please switch to the more fully featured <a href="#query-operations">Query API</a> instead. The search API will be removed in the future.
/// </div>
///
/// Search and explore points.
///
/// Documentation: <https://qdrant.tech/documentation/concepts/search/>
impl Qdrant {
/// Search points in a collection.
///
/// ```no_run
///# use qdrant_client::{Qdrant, QdrantError};
/// use qdrant_client::qdrant::{Condition, Filter, SearchParamsBuilder, SearchPointsBuilder};
///
///# async fn search_points(client: &Qdrant)
///# -> Result<(), QdrantError> {
/// client
/// .search_points(
/// SearchPointsBuilder::new("my_collection", vec![0.2, 0.1, 0.9, 0.7], 3)
/// .filter(Filter::must([Condition::matches(
/// "city",
/// "London".to_string(),
/// )]))
/// .params(SearchParamsBuilder::default().hnsw_ef(128).exact(false)),
/// )
/// .await?;
///# Ok(())
///# }
/// ```
///
/// Documentation: <https://qdrant.tech/documentation/concepts/search/#search-api>
pub async fn search_points(
&self,
request: impl Into<SearchPoints>,
) -> QdrantResult<SearchResponse> {
let request = &request.into();
self.with_points_client(|mut points_api| async move {
let result = points_api.search(request.clone()).await?;
Ok(result.into_inner())
})
.await
}
/// Batch multiple points searches in a collection.
///
/// ```no_run
///# use qdrant_client::{Qdrant, QdrantError};
/// use qdrant_client::qdrant::{Condition, Filter, SearchBatchPointsBuilder, SearchPointsBuilder,};
///
///# async fn search_batch_points(client: &Qdrant)
///# -> Result<(), QdrantError> {
/// let filter = Filter::must([Condition::matches("city", "London".to_string())]);
///
/// let searches = vec![
/// SearchPointsBuilder::new("my_collection", vec![0.2, 0.1, 0.9, 0.7], 3)
/// .filter(filter.clone())
/// .build(),
/// SearchPointsBuilder::new("my_collection", vec![0.5, 0.3, 0.2, 0.3], 3)
/// .filter(filter)
/// .build(),
/// ];
///
/// client
/// .search_batch_points(SearchBatchPointsBuilder::new("my_collection", searches))
/// .await?;
///# Ok(())
///# }
/// ```
///
/// Documentation: <https://qdrant.tech/documentation/concepts/search/#batch-search-api>
pub async fn search_batch_points(
&self,
request: impl Into<SearchBatchPoints>,
) -> QdrantResult<SearchBatchResponse> {
let request = &request.into();
self.with_points_client(|mut points_api| async move {
let result = points_api.search_batch(request.clone()).await?;
Ok(result.into_inner())
})
.await
}
/// Search points in a collection and group results by a payload field.
///
/// ```no_run
///# use qdrant_client::{Qdrant, QdrantError};
/// use qdrant_client::qdrant::SearchPointGroupsBuilder;
///
///# async fn search_points(client: &Qdrant)
///# -> Result<(), QdrantError> {
/// client
/// .search_groups(SearchPointGroupsBuilder::new(
/// "my_collection", // Collection name
/// vec![1.1], // Search vector
/// 4, // Search limit
/// "document_id", // Group by field
/// 2, // Group size
/// ))
/// .await?;
///# Ok(())
///# }
/// ```
///
/// Documentation: <https://qdrant.tech/documentation/concepts/search/#search-groups>
pub async fn search_groups(
&self,
request: impl Into<SearchPointGroups>,
) -> QdrantResult<SearchGroupsResponse> {
let request = &request.into();
self.with_points_client(|mut points_api| async move {
let result = points_api.search_groups(request.clone()).await?;
Ok(result.into_inner())
})
.await
}
/// Recommend points in a collection.
///
/// ```no_run
///# use qdrant_client::{Qdrant, QdrantError};
/// use qdrant_client::qdrant::{Condition, Filter, RecommendPointsBuilder, RecommendStrategy};
///
///# async fn recommend(client: &Qdrant)
///# -> Result<(), QdrantError> {
/// client
/// .recommend(
/// RecommendPointsBuilder::new("my_collection", 3)
/// .add_positive(100)
/// .add_positive(200)
/// .add_positive(vec![100.0, 231.0])
/// .add_negative(718)
/// .add_negative(vec![0.2, 0.3, 0.4, 0.5])
/// .strategy(RecommendStrategy::AverageVector)
/// .filter(Filter::must([Condition::matches(
/// "city",
/// "London".to_string(),
/// )])),
/// )
/// .await?;
///# Ok(())
///# }
/// ```
///
/// Documentation: <https://qdrant.tech/documentation/concepts/explore/#recommendation-api>
pub async fn recommend(
&self,
request: impl Into<RecommendPoints>,
) -> QdrantResult<RecommendResponse> {
let request = &request.into();
self.with_points_client(|mut points_api| async move {
let result = points_api.recommend(request.clone()).await?;
Ok(result.into_inner())
})
.await
}
/// Batch multiple points recommendations in a collection.
///
/// ```no_run
///# use qdrant_client::{Qdrant, QdrantError};
/// use qdrant_client::qdrant::{Condition, Filter, RecommendBatchPointsBuilder, RecommendPointsBuilder};
///
///# async fn recommend_batch(client: &Qdrant)
///# -> Result<(), QdrantError> {
/// let filter = Filter::must([Condition::matches("city", "London".to_string())]);
///
/// let recommend_queries = vec![
/// RecommendPointsBuilder::new("my_collection", 3)
/// .add_positive(100)
/// .add_positive(231)
/// .add_negative(718)
/// .filter(filter.clone())
/// .build(),
/// RecommendPointsBuilder::new("my_collection", 3)
/// .add_positive(200)
/// .add_positive(67)
/// .add_negative(300)
/// .filter(filter.clone())
/// .build(),
/// ];
///
/// client
/// .recommend_batch(RecommendBatchPointsBuilder::new(
/// "my_collection",
/// recommend_queries,
/// ))
/// .await?;
///# Ok(())
///# }
/// ```
///
/// Documentation: <https://qdrant.tech/documentation/concepts/explore/#batch-recommendation-api>
pub async fn recommend_batch(
&self,
request: impl Into<RecommendBatchPoints>,
) -> QdrantResult<RecommendBatchResponse> {
let request = &request.into();
self.with_points_client(|mut points_api| async move {
let result = points_api.recommend_batch(request.clone()).await?;
Ok(result.into_inner())
})
.await
}
/// Recommend points in a collection and group results by a payload field.
///
/// ```no_run
///# use qdrant_client::{Qdrant, QdrantError};
/// use qdrant_client::qdrant::{RecommendPointGroupsBuilder, RecommendStrategy};
///
///# async fn recommend_groups(client: &Qdrant)
///# -> Result<(), QdrantError> {
/// client
/// .recommend_groups(
/// RecommendPointGroupsBuilder::new(
/// "my_collection", // Collection name
/// "document_id", // Group by field
/// 2, // Group size
/// 3, // Search limit
/// )
/// .add_positive(100)
/// .add_positive(200)
/// .add_negative(718)
/// .strategy(RecommendStrategy::AverageVector),
/// )
/// .await?;
///# Ok(())
///# }
/// ```
///
/// Documentation: <https://qdrant.tech/documentation/concepts/explore/#recommendation-api>
pub async fn recommend_groups(
&self,
request: impl Into<RecommendPointGroups>,
) -> QdrantResult<RecommendGroupsResponse> {
let request = &request.into();
self.with_points_client(|mut points_api| async move {
let result = points_api.recommend_groups(request.clone()).await?;
Ok(result.into_inner())
})
.await
}
/// Discover points in a collection.
///
/// ```no_run
///# use qdrant_client::{Qdrant, QdrantError};
/// use qdrant_client::qdrant::{
/// target_vector::Target, vector_example::Example, ContextExamplePairBuilder,
/// DiscoverPointsBuilder, VectorExample,
/// };
///
///# async fn discover(client: &Qdrant)
///# -> Result<(), QdrantError> {
/// client
/// .discover(
/// DiscoverPointsBuilder::new(
/// "my_collection", // Collection name
/// vec![
/// ContextExamplePairBuilder::default()
/// .positive(Example::Id(100.into()))
/// .negative(Example::Id(718.into()))
/// .build(),
/// ContextExamplePairBuilder::default()
/// .positive(Example::Id(200.into()))
/// .negative(Example::Id(300.into()))
/// .build(),
/// ],
/// 10, // Search limit
/// )
/// .target(Target::Single(VectorExample {
/// example: Some(Example::Vector(vec![0.2, 0.1, 0.9, 0.7].into())),
/// })),
/// )
/// .await?;
///# Ok(())
///# }
/// ```
///
/// Documentation: <https://qdrant.tech/documentation/concepts/explore/#discovery-api>
pub async fn discover(
&self,
request: impl Into<DiscoverPoints>,
) -> QdrantResult<DiscoverResponse> {
let request = &request.into();
self.with_points_client(|mut points_api| async move {
let result = points_api.discover(request.clone()).await?;
Ok(result.into_inner())
})
.await
}
/// Batch multiple point discoveries in a collection.
///
/// ```no_run
///# use qdrant_client::{Qdrant, QdrantError};
/// use qdrant_client::qdrant::{
/// vector_example::Example, ContextExamplePairBuilder, DiscoverBatchPointsBuilder,
/// DiscoverPointsBuilder,
/// };
///
///# async fn discover_batch(client: &Qdrant)
///# -> Result<(), QdrantError> {
/// let discover_points = DiscoverBatchPointsBuilder::new(
/// "my_collection",
/// vec![
/// DiscoverPointsBuilder::new(
/// "my_collection",
/// vec![
/// ContextExamplePairBuilder::default()
/// .positive(Example::Id(100.into()))
/// .negative(Example::Id(718.into()))
/// .build(),
/// ContextExamplePairBuilder::default()
/// .positive(Example::Id(200.into()))
/// .negative(Example::Id(300.into()))
/// .build(),
/// ],
/// 10,
/// )
/// .build(),
/// DiscoverPointsBuilder::new(
/// "my_collection",
/// vec![
/// ContextExamplePairBuilder::default()
/// .positive(Example::Id(342.into()))
/// .negative(Example::Id(213.into()))
/// .build(),
/// ContextExamplePairBuilder::default()
/// .positive(Example::Id(100.into()))
/// .negative(Example::Id(200.into()))
/// .build(),
/// ],
/// 10,
/// )
/// .build(),
/// ],
/// );
///
/// client.discover_batch(&discover_points.build()).await?;
///# Ok(())
///# }
/// ```
///
/// Documentation: <https://qdrant.tech/documentation/concepts/explore/#discovery-api>
pub async fn discover_batch(
&self,
request: &DiscoverBatchPoints,
) -> QdrantResult<DiscoverBatchResponse> {
self.with_points_client(|mut points_api| async move {
let result = points_api.discover_batch(request.clone()).await?;
Ok(result.into_inner())
})
.await
}
}