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
