How to add metadata to an Index datapoint in vertex ai

[precious112]

I have been having problems integrating vertex ai matching engine for embedding similarity search using the google cloud aiplatform python sdk, specifically when adding metadata to an index datapoint via `

google.cloud.aiplatform_v1.types.

IndexDatapoint

` so i checked the docs and i saw there was no metadata field, seems matching engine indexing only supports indexing embeddings with restrictions which would not work in my usecase because i need each embedding to have specific metadata that would be relevant after the similarity search.

I just want to be sure if i'm not missing anything or i should find other  vector database services to use?