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https://issues.apache.org/jira/browse/FLINK-9167?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chesnay Schepler closed FLINK-9167.
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Resolution: Won't Do
Closing since flink-ml is effectively frozen.
> Approximate KNN with Incremental Insertion
> ------------------------------------------
>
> Key: FLINK-9167
> URL: https://issues.apache.org/jira/browse/FLINK-9167
> Project: Flink
> Issue Type: New Feature
> Components: Library / Machine Learning
> Reporter: Alex Klibisz
> Priority: Minor
>
> I'm new to Flink, and I'm curious about an extension of approximate KNN to
> support incremental insertion to the index.
> I'm specifically interested in this use case: You build an index from a
> training set of vectors. As your application runs, you ingest a stream of new
> vectors (e.g. users posting new content). For every new vector, you compute
> its neighbors against the existing index. Then you immediately insert the new
> vector to the index such that it can be returned for subsequent queries.
> Perhaps this is possible with current components of Flink, or maybe another
> streaming tool already has a comparable implementation? If so, I would
> appreciate any pointers or links to examples.
> If it's not available, is there interest in implementing such a feature? If
> so, I would be interested in making an attempt.
> I appreciate any tips or insight. Thanks!
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