Sorry for mistake by mentioning Milvus. It was meant for Tecton Sink I/O On Friday, September 12, 2025, Mohamed Awnallah <[email protected]> wrote:
> Hello Beam Dev Community, > > I'm happy to share the design document for the Milvus Vector Sink I/O > Connector for Apache Beam, developed as part of my GSoC 2025 project. > > This sink I/O connector enables both streaming and batch pipelines to > persist features into Tecton's online and offline feature stores. It > integrates Tecton's capabilities into Beam workflows, allowing pipelines to > store newly computed or updated feature data. It is essential for enabling > real-time feature serving, continuous feature engineering, and managing the > full lifecycle of feature data in modern machine learning systems. > > Here is the link to the design document: > https://docs.google.com/document/d/16MvDv1EQuNosucsLA2KA4PXYxN8Gu > nAHhTOp5HMIcks/edit?usp=sharing > > This implementation is part of the GSoC 2025 ML Integration project being > tracked here: > https://github.com/apache/beam/issues/35046 > > I welcome any feedback, suggestions, or questions about the design > approach. > > Thank you, > Mohamed > >
