Developed and delivered the Superlinked Integration Partner Page for the weaviate/weaviate-io repository, enabling customers to deploy and manage embedding, reranking, and extraction models through a unified self-hosted inference engine endpoint. The work involved implementing React-based front end components, including SIEVectorizer, SIENamedVectorizer, and SIEDocumentEnricher, all interoperating with the self_provided() vector configuration. By closely following maintainer guidance and mirroring the google-cloud-platform.jsx structure, the implementation ensured consistency and maintainability. This feature expanded integration options to over 85 models, streamlining operational workflows and enhancing business value for users seeking flexible, self-hosted model deployment using JavaScript and JSON.