+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 > > > > > >
