Release Notes#

Added#

• Hybrid Search functionality

• Images API to retrieve rendered images for assets

• Possibility to skip Nucleus mounts

• Rendering job configuration settings in the helm chart configuration

• Authentication mechanism for embedding service allowing it to run on NVCF

• Embedding service API test in the helm chart

• Affinity support in rendering Job template

• Possibility to pull the explorer sample WebUI from git repository

• Admin tools (beta) that allow some basic operations (e.g. bulk re-indexing of asset).

Fixed#

• Embedding liveness check does not work with NVCLIP NIM model

• Service names for plugin worker metrics are too long

• Added mapping verification to make sure usd_properties field exits in the index with the nested type

• Allow the possibility of passing numeric values as credentials

• S3proxy configuration bugfix

• VLM-based auto-captioning bugfix when default prompt and metadata fields could not be modified

• Security updates and vulnerability fixes

Known Limitations#

• USD Search API relies on Omniverse Kit for rendering and extracting scene prim hierarchy. Therefore the service should work with any scene that Omniverse Kit can work with.

• When using the filter_by_properties query parameter in USD Search API, different filters have to be separated by a single comma (having a comma and a space is not supported).

• At the moment, asset previews are returned together in a single response, which limits the maximum number of results to be returned to around 700. If assets are requested without previews, this number is significantly higher (around 10000).

• Pagination of search results is currently not supported.

• Single and double quotes are not supported as part of the filter_by_properties query parameter.

Migration from previous versions of USD Search#

In 1.2.0 version of USD Search API, we have updated the way VLM-generated metadata is stored in the search index. If you have been using VLM-base auto-captioning functionality - you need to trigger re-indexing of VLM-based plugins for all assets on the storage backend. This can be done with the following command (after the helm chart is successfully deployed):

kubectl exec -it $(kubectl get pods -o name | grep deepsearch-info-endpoint | head -n 1) -- \
    python -m usdsearch.admin.tools reindex \
    --path="/" \
    --include_plugins="['thumbnail_to_vision_metadata', 'rendering_to_vision_metadata', 'image_to_vision_metadata']" \
    --ignore_existing_statuses