Hi, all.

There has been no feedback for a while. I plan to close this FLIP tomorrow
unless there are further comments. Thank you all for the discussion.

Best,
Shengkai

Yash Anand <yashanand.0...@gmail.com> 于2025年7月31日周四 15:47写道:

> Hi Shengkai,
>
> Thanks for the FLIP, this will be a great addition to flink AI
> capabilities. +1 for this feature.
>
> Best,
> Yash Anand
>
> On Tue, Jul 29, 2025 at 7:23 PM Jacky Lau <liuyong...@gmail.com> wrote:
>
> > Hi Shengkai,
> >
> > Thanks for the FLIP and enhancement for AI capabilities in Flink. +1 for
> > this feature
> >
> > Best,
> > Jacky Lau
> >
> > Hao Li <h...@confluent.io.invalid> 于2025年7月30日周三 01:03写道:
> >
> > > Hi Shengkai,
> > >
> > > Thanks for the FLIP and enhancement for AI capabilities in Flink. +1.
> > >
> > > Thanks,
> > > Hao
> > >
> > > On Tue, Jul 29, 2025 at 2:16 AM Shengkai Fang <fskm...@gmail.com>
> wrote:
> > >
> > > > Hi,
> > > > I'd like to start a discussion of FLIP-540: Support VECTOR_SEARCH in
> > > Flink
> > > > SQL[1].
> > > >
> > > > In FLIP-437/FLIP-525, Apache Flink has initially integrated Large
> > > Language
> > > > Model (LLM) capabilities, enabling semantic understanding and
> real-time
> > > > processing of streaming data pipelines. This integration has been
> > > > technically validated in scenarios such as log classification and
> > > real-time
> > > > question-answering systems. However, the current architecture allows
> > > Flink
> > > > to only use embedding models to convert unstructured data (e.g.,
> text,
> > > > images) into high-dimensional vector features, which are then
> persisted
> > > to
> > > > downstream storage systems (e.g., Milvus, Mongodb). It lacks
> real-time
> > > > online querying and similarity analysis capabilities for vector
> spaces.
> > > To
> > > > address this limitation, we propose introducing the VECTOR_SEARCH
> > > function
> > > > in this FLIP, enabling users to perform streaming vector similarity
> > > > searches and real-time context retrieval (e.g., Retrieval-Augmented
> > > > Generation, RAG) directly within Flink.
> > > >
> > > > Looking forward to comments and suggestions for improvements!
> > > >
> > > > Best,
> > > > Shengkai
> > > >
> > > > [1]
> > > >
> > > >
> > >
> >
> https://cwiki.apache.org/confluence/display/FLINK/FLIP-540%3A+Support+VECTOR_SEARCH+in+Flink+SQL
> > > >
> > >
> >
>

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