Worked on the Pometry/Raphtory repository to enhance the scalability of the embeddings workflow by implementing end-to-end batch processing for node and edge embeddings. Refactored core Rust APIs, including add_nodes and add_edges, to accept vector inputs, and updated asynchronous handlers to support batch operations. Enabled the VectorDb component to perform batch insertions, reducing database round-trips and supporting larger workloads. Developed comprehensive tests to validate batch embedding generation, improving reliability and throughput. Focused on API development, asynchronous programming, and graph databases, this work accelerated embedding pipelines and laid the groundwork for scalable analytics without introducing new bugs during the period.