I am trying to implement a vector search with App Search. I read this useful documentation how to ingest vectors and ML/NLP generated content with ML inference pipeline.
But how to use that additonal vectorized fields (e.g. for title, description, body) within Search API oder Search UI (with App Search or Elasticsearch connector)? The document describes primary the ingest.
Its a little bit of a workaround solution atm and there are upcoming work that makes this experience so much better with Elasticsearch and Search UI. Using Elasticsearch directly, you should be in a good place to take advantage of that when its released
Yes, that sounds like a viable workaround. I will test that.
Of course, it would be great if there was a more direct integration with Enterprise Search in one of the next releases. Semantic Search is one of the most important functions for our customers.
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