Thank you, Mohamed! Great work! On Fri, Oct 3, 2025 at 9:30 AM Danny McCormick via dev <[email protected]> wrote:
> 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 >> >
