Thanks for all your contributions this summer Mohamed! You've done a really great job improving Beam's ML capabilities and have been a pleasure to work with!
On Fri, Oct 3, 2025 at 9:25 AM Mohamed Awnallah <[email protected]> wrote: > Hi Beam community, > > With my GSoC 2025 project concluded, I recently wrote up a blog post > https://beam.apache.org/blog/gsoc-25-ml-connectors/ about my experience > working on the project in collaboration with the Beam community. > > The work includes new connectors that enhance Beam's ML capabilities, > particularly for RAG and feature engineering workflows: > > - **Milvus Vector Database**: Enrichment handler and sink I/O connector > for vector similarity search operations > > - **Tecton Feature Store**: Enrichment handler and sink I/O connector for > feature engineering workflows > > - **Embedding Generators**: OpenAI connector (with Anthropic coming soon) > for generating vector embeddings > > These integrations expand Beam's ML ecosystem beyond the existing > BigQuery, AlloyDB, Vertex AI, and Feast support. The project has already > started attracting community contributions, including a new Qdrant vector > database connector. These additions will be particularly valuable with Beam > 3.0 coming up and its focus on first-class ML support. > > I'm excited to have contributed to making ML workflows more accessible in > Beam, especially with the growing importance of RAG and feature engineering > use cases. > > A huge thank you to my mentor Danny McCormick and the larger Beam > community for your support throughout this project! > > Thanks, > Mohamed Awnallah >
