qdrant_client::qdrant

Struct RecommendPointsBuilder

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pub struct RecommendPointsBuilder { /* private fields */ }
Expand description

Builder for RecommendPoints.

Implementations§

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impl RecommendPointsBuilder

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pub fn collection_name(self, value: String) -> Self

name of the collection

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pub fn filter<VALUE: Into<Filter>>(self, value: VALUE) -> Self

Filter conditions - return only those points that satisfy the specified conditions

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pub fn limit(self, value: u64) -> Self

Max number of result

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pub fn with_payload<VALUE: Into<SelectorOptions>>(self, value: VALUE) -> Self

Options for specifying which payload to include or not

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pub fn params<VALUE: Into<SearchParams>>(self, value: VALUE) -> Self

Search config

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pub fn score_threshold(self, value: f32) -> Self

If provided - cut off results with worse scores

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pub fn offset(self, value: u64) -> Self

Offset of the result

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pub fn using<VALUE: Into<String>>(self, value: VALUE) -> Self

Define which vector to use for recommendation, if not specified - default vector

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pub fn with_vectors<VALUE: Into<SelectorOptions>>(self, value: VALUE) -> Self

Options for specifying which vectors to include into response

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pub fn lookup_from<VALUE: Into<LookupLocation>>(self, value: VALUE) -> Self

Name of the collection to use for points lookup, if not specified - use current collection

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pub fn read_consistency<VALUE: Into<Value>>(self, value: VALUE) -> Self

Options for specifying read consistency guarantees

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pub fn strategy<VALUE: Into<i32>>(self, value: VALUE) -> Self

How to use the example vectors to find the results

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pub fn timeout(self, value: u64) -> Self

If set, overrides global timeout setting for this request. Unit is seconds.

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pub fn shard_key_selector<VALUE: Into<ShardKeySelector>>( self, value: VALUE, ) -> Self

Specify in which shards to look for the points, if not specified - look in all shards

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impl RecommendPointsBuilder

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pub fn build(self) -> RecommendPoints

Builds the desired type. Can often be omitted.

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impl RecommendPointsBuilder

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pub fn new(collection_name: impl Into<String>, limit: u64) -> Self

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impl RecommendPointsBuilder

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pub fn add_positive( self, recommend_example: impl Into<RecommendExample>, ) -> Self

Look for vectors closest to the vectors from these points or vectors

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pub fn add_negative( self, recommend_example: impl Into<RecommendExample>, ) -> Self

Try to avoid vectors like the vector from these points or vectors

Trait Implementations§

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impl From<RecommendPointsBuilder> for RecommendPoints

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fn from(value: RecommendPointsBuilder) -> Self

Converts to this type from the input type.

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