VertexAI vector store

I'm new to both Spring AI and VertexAI so forgive me in advance if I've misunderstood something. When looking in the documentation of Spring AI, I see that you support many embedding models and vector stores. However, I can only see that VertexAI can be used as an embedding model to generate my embeddings, but I cannot find a VectorStore implementation for VertexAI (at least not in the documentation). My understanding is that VertexAI can also be used as a vector store, at least according to Gemini:

Vertex AI can be used as a vector store. Its Embedding API provides a managed service for storing, indexing, and retrieving embeddings. This makes it a convenient and efficient option for various applications that require vector similarity search.

Would it make sense to also support VertexAI as a VectorStore implementation in the future in the Spring AI project?

Start with the Spring AI documentation and the existing embedding-model and VectorStore integrations to determine how Vertex AI is currently represented. Confirm which Vertex AI storage or vector-search service is intended, then define the integration scope and documentation needed for support; the issue names no repository files or tests.