Package io.qdrant.client.grpc
Class PointsGrpc.PointsBlockingStub
java.lang.Object
io.grpc.stub.AbstractStub<S>
io.grpc.stub.AbstractBlockingStub<PointsGrpc.PointsBlockingStub>
io.qdrant.client.grpc.PointsGrpc.PointsBlockingStub
- Enclosing class:
- PointsGrpc
public static final class PointsGrpc.PointsBlockingStub
extends io.grpc.stub.AbstractBlockingStub<PointsGrpc.PointsBlockingStub>
A stub to allow clients to do synchronous rpc calls to service Points.
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Nested Class Summary
Nested classes/interfaces inherited from class io.grpc.stub.AbstractStub
io.grpc.stub.AbstractStub.StubFactory<T extends io.grpc.stub.AbstractStub<T>>
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Method Summary
Modifier and TypeMethodDescriptionprotected PointsGrpc.PointsBlockingStub
build
(io.grpc.Channel channel, io.grpc.CallOptions callOptions) clearPayload
(Points.ClearPayloadPoints request) Remove all payload for specified pointscount
(Points.CountPoints request) Count points in collection with given filtering conditionsCreate index for field in collectiondelete
(Points.DeletePoints request) Delete pointsDelete field index for collectiondeletePayload
(Points.DeletePayloadPoints request) Delete specified key payload for pointsdeleteVectors
(Points.DeletePointVectors request) Delete named vectors for pointsget
(Points.GetPoints request) Retrieve pointsoverwritePayload
(Points.SetPayloadPoints request) Overwrite payload for pointsrecommend
(Points.RecommendPoints request) Look for the points which are closer to stored positive examples and at the same time further to negative examples.Look for the points which are closer to stored positive examples and at the same time further to negative examples.Look for the points which are closer to stored positive examples and at the same time further to negative examples, grouped by a given fieldscroll
(Points.ScrollPoints request) Iterate over all or filtered pointssearch
(Points.SearchPoints request) Retrieve closest points based on vector similarity and given filtering conditionssearchBatch
(Points.SearchBatchPoints request) Retrieve closest points based on vector similarity and given filtering conditionssearchGroups
(Points.SearchPointGroups request) Retrieve closest points based on vector similarity and given filtering conditions, grouped by a given fieldsetPayload
(Points.SetPayloadPoints request) Set payload for pointsupdateBatch
(Points.UpdateBatchPoints request) Perform multiple update operations in one requestupdateVectors
(Points.UpdatePointVectors request) Update named vectors for pointupsert
(Points.UpsertPoints request) Perform insert + updates on points.Methods inherited from class io.grpc.stub.AbstractBlockingStub
newStub, newStub
Methods inherited from class io.grpc.stub.AbstractStub
getCallOptions, getChannel, withCallCredentials, withChannel, withCompression, withDeadline, withDeadlineAfter, withExecutor, withInterceptors, withMaxInboundMessageSize, withMaxOutboundMessageSize, withOption, withWaitForReady
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Method Details
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build
protected PointsGrpc.PointsBlockingStub build(io.grpc.Channel channel, io.grpc.CallOptions callOptions) - Specified by:
build
in classio.grpc.stub.AbstractStub<PointsGrpc.PointsBlockingStub>
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upsert
Perform insert + updates on points. If a point with a given ID already exists - it will be overwritten.
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delete
Delete points
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get
Retrieve points
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updateVectors
Update named vectors for point
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deleteVectors
Delete named vectors for points
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setPayload
Set payload for points
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overwritePayload
Overwrite payload for points
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deletePayload
Delete specified key payload for points
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clearPayload
Remove all payload for specified points
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createFieldIndex
Create index for field in collection
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deleteFieldIndex
Delete field index for collection
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search
Retrieve closest points based on vector similarity and given filtering conditions
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searchBatch
Retrieve closest points based on vector similarity and given filtering conditions
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searchGroups
Retrieve closest points based on vector similarity and given filtering conditions, grouped by a given field
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scroll
Iterate over all or filtered points
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recommend
Look for the points which are closer to stored positive examples and at the same time further to negative examples.
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recommendBatch
Look for the points which are closer to stored positive examples and at the same time further to negative examples.
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recommendGroups
Look for the points which are closer to stored positive examples and at the same time further to negative examples, grouped by a given field
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count
Count points in collection with given filtering conditions
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updateBatch
Perform multiple update operations in one request
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