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FEATURE: configurable embeddings #1049
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DRAFT: configurable embeddings
FEATURE: configurable embeddings
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Adds a way to configure embeddings similar to what we already have for other concepts like LLMs, tools, personas, etc.
It hides many old settings and adds a new one called "ai_embeddings_selected_model". We include a data migration to seed the model using these old settings.
It also removes the
DiscourseClassifier
service.