Big +1, thank Jingsong for the proposal, it marks an important step for Paimon toward the AI Lake, and I'm very much looking forward to it.
Best, FangYong On Mon, Dec 22, 2025 at 11:03 AM Biao Liu <[email protected]> wrote: > Great to hear that! > > Thanks, > Biao /'bɪ.aʊ/ > > > > On Thu, 18 Dec 2025 at 12:30, Yu Li <[email protected]> wrote: > > > Thanks for the proposal, Jingsong — big +1 from me! > > > > I’ve noticed there are already several active efforts underway [1][2] > > aligned with the vision of a *unified lake format for multimodal data*. > > Given this momentum, I think now is the right time to formalize a > detailed > > plan for the 2.0 release. > > > > One quick question: Is there a centralized place where we can track > > detailed release progress - such as issues categorized by version, status > > (done/in-progress/backlog) - similar to how Flink manages releases via > JIRA > > [3]? > > > > Also, would it make sense to add a dedicated **Roadmap** tab to our > > official website, following the example of Fluss [4]? This could greatly > > improve transparency and alignment with the community. > > > > Thanks. > > > > Best Regards, > > Yu > > > > [1] > > > > > https://cwiki.apache.org/confluence/display/PAIMON/PIP-35%3A+Introduce+Blob+to+store+multimodal+data > > [2] > > > > > https://cwiki.apache.org/confluence/display/PAIMON/PIP-40%3A+Introduce+a+new+Vector+data+type > > [3] https://issues.apache.org/jira/projects/FLINK/versions/12356392 > > [4] https://fluss.apache.org/roadmap/ > > > > On Thu, 18 Dec 2025 at 10:18, Chenghui Chen <[email protected]> wrote: > > > > > +1. Excited to see Paimon shine in the AI era! > > > > > > > > > On Wed, Dec 17, 2025 at 10:28 PM Mehul Batra <[email protected] > > > > > wrote: > > > > > > > +1. > > > > Looking forward to it. > > > > > > > > Best regards, > > > > Mehul > > > > > > > > On Wed, Dec 17, 2025 at 5:14 PM yuxia <[email protected]> > > > wrote: > > > > > > > > > +1. > > > > > Looking forward to it. > > > > > > > > > > Best regards, > > > > > Yuxia > > > > > > > > > > ----- 原始邮件 ----- > > > > > 发件人: "Blue Umi" <[email protected]> > > > > > 收件人: "dev" <[email protected]> > > > > > 发送时间: 星期三, 2025年 12 月 17日 下午 2:17:43 > > > > > 主题: [SPAM]Re: [DISCUSS] Apache Paimon 2.0 Version planning > > > > > > > > > > +1, I can't wait to see the wide application of paimon in the field > > of > > > > AI. > > > > > > > > > > On Wed, Dec 17, 2025 at 12:29 PM 王刚 <[email protected]> wrote: > > > > > > > > > > > +1, looking forward to the optimizations of Paimon in AI > scenarios. > > > > > > > > > > > > wj wang <[email protected]> 于2025年12月17日周三 10:33写道： > > > > > > > > > > > > > +1, very pleased to see Paimon's progress in AI. > > > > > > > > > > > > > > On Wed, Dec 17, 2025 at 9:04 AM Yunfeng Zhou > > > > > > > <[email protected]> wrote: > > > > > > > > > > > > > > > > Thanks for the proposal. It would definitely boost Paimon’s > > > > > development > > > > > > > in the next era for AI. > > > > > > > > > > > > > > > > Best, > > > > > > > > Yunfeng > > > > > > > > > > > > > > > > > 2025年12月16日 16:45，Jingsong Li <[email protected]> 写道： > > > > > > > > > > > > > > > > > > Hi everyone, > > > > > > > > > > > > > > > > > > Apache Paimon, as a high-performance data lake format, has > > > > achieved > > > > > > > > > significant results in the field of structured data > > processing. > > > > > With > > > > > > > > > the deepening of AI application scenarios, the demand for > > > fusion > > > > > > > > > analysis of multimodal data (such as text, images, audio, > > > video, > > > > > > etc.) > > > > > > > > > is increasing day by day. We have invested a lot of > > development > > > > > work > > > > > > > > > in cross modal retrieval, unified storage, and efficient > > > > analysis. > > > > > > > > > > > > > > > > > > We plan to launch version 2.0 development, focusing on > > breaking > > > > > > > > > through multimodal data support and creating a more > powerful > > > data > > > > > > lake > > > > > > > > > solution. > > > > > > > > > > > > > > > > > > Core objective: > > > > > > > > > - Unified Storage for structure & multimodal & vector. > > > > > > > > > - Efficient Search for data and vectors. > > > > > > > > > - Python ecosystem. > > > > > > > > > > > > > > > > > > Core features: > > > > > > > > > 1. Data Evolution mode. > > > > > > > > > 2. Blob Store. > > > > > > > > > 3. Vector Store. > > > > > > > > > 4. Python SDK & Ray Supports > > > > > > > > > 5. Global Index framework. > > > > > > > > > 6. Global Vector Index. > > > > > > > > > 7. Global Invert Index. > > > > > > > > > > > > > > > > > > What do you think? > > > > > > > > > > > > > > > > > > Best, > > > > > > > > > Jingsong > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > >
