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enhancementNew feature or requestNew feature or requestv3.0.0Issues targeting release v3.0.0Issues targeting release v3.0.0
Description
There are few enhancements made in core OpenSearch and in ML commons that can help smooth the search experience. Updates in the presets and general UI should be done to leverage these backend updates. Some ideas:
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templatequery, this can eliminate the query overriding required in the ML processors in the default use cases. Rather than having a separate preset query defined in the ML processors, that query can be defined directly within thetemplateclause. The ML processor preset can then be updated to just parse out what fields to parse as input, and where to store in the output (e.g., parsing some input field to generate embeddings for, and store the generated embeddings in some query field) - For
extimprovements, the RAG use case can be updated to store the ML search response processors LLM response under theextfield. And, explore some enhancements in the search response UI to easily show theextresponse.
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enhancementNew feature or requestNew feature or requestv3.0.0Issues targeting release v3.0.0Issues targeting release v3.0.0