Nlimoy developed the Llama Stack Vector Store Backend for the vllm-project/semantic-router repository, enabling full CRUD operations, text-based search, and vector-io chunk insertion through an OpenAI-compatible API. Their work focused on backend development and API integration using Go, with deployment and validation managed via Kubernetes and Kind. Nlimoy implemented comprehensive unit and integration testing, including live Llama Stack validation, and updated documentation and tooling to support container lifecycle and testing workflows. This feature improved retrieval quality and scalability for RAG pipelines, reduced integration friction, and established a standards-based foundation for future vector store enhancements within the project.