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Posted to gsoc@community.apache.org by "Maxim Solodovnik (Jira)" <ji...@apache.org> on 2025/02/12 23:58:00 UTC

[jira] [Updated] (GSOC-279) Beam ML: Vector DB/Feature Store integrations

     [ https://issues.apache.org/jira/browse/GSOC-279?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Maxim Solodovnik updated GSOC-279:
----------------------------------
    Labels: Beam gsoc gsoc2025 mentor  (was: beam gsoc gsoc2025 mentor)

> Beam ML: Vector DB/Feature Store integrations
> ---------------------------------------------
>
>                 Key: GSOC-279
>                 URL: https://issues.apache.org/jira/browse/GSOC-279
>             Project: Comdev GSOC
>          Issue Type: Task
>            Reporter: Danny McCormick
>            Priority: Major
>              Labels: Beam, gsoc, gsoc2025, mentor
>
> Apache Beam's YAML DSL provides a powerful and declarative way to define data processing pipelines. In particular, many users want to use Beam for machine learning use cases like feature generation, embedding generation, and retrieval augmented generation (RAG). Today, however, Beam integrates with a relatively limited set of feature stores and vector DBs for these use cases. This project aims to build out a rich ecosystem of connectors to systems like Pinecone and Tecton to enable these ML use cases.



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