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Is your feature request related to a problem?
We want to provide a tutorial for using Asymmetric models in ML Commons this was already proven possible by this PR (#1799).
OpenSearch currently only supports symmetric text embedding models ... These models treat queries and passages equally at inference time ... to support these models (Asymmetric) in OpenSearch we need to be able to define different inference mechanisms for the passage embedding and the query embedding. - src
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem?
We want to provide a tutorial for using Asymmetric models in ML Commons this was already proven possible by this PR (#1799).
What solution would you like?
This tutorial will be implemented within the semantic Search folder (https://github.com/opensearch-project/ml-commons/tree/main/docs/tutorials/semantic_search)
What alternatives have you considered?
N/A
Do you have any additional context?
The text was updated successfully, but these errors were encountered: