| --- | |
| title: "Roadmap" | |
| type: roadmap | |
| alias: roadmap | |
| --- | |
| # Roadmap | |
| This roadmap means to provide users and contributors with a high-level summary of ongoing efforts in the Paimon community. | |
| The roadmap contains both efforts working in process as well as completed efforts, so that users may get a better impression | |
| of the overall status and direction of those developments. | |
| ## Paimon 2.0 Planning | |
| 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. | |
| Paimon 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 and full text. | |
| - PyPaimon integrate to AI system like Ray, Pytorch. | |
| Umbrella issue is https://github.com/apache/paimon/issues/6866 | |
| ### Data Evolution mode | |
| ### Blob Store. | |
| ### Vector Store. | |
| ### Enhance Python SDK & Ray Supports | |
| ### Enhance Python SDK & Pytorch Supports | |
| ### Global Index framework | |
| ### Global Sorted Index | |
| ### Global Vector Index | |
| ### Global Invert Index |