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This recognizer uses a frozen Universal Sentence Encoder Tensorflow model to encode, using sentence embedding vectors, a list of Frequently Asked Questions and tag sentences that match a question/answer pair given a specified threshold of accuracy with the question/answer from the FAQ.
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Before adding the FAQ Recognizer, download the tensorflow model from here and unzip it under %SAGA_SERVER%\tf-models
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By clicking in the
which will popup the Add new FAQ dialogParameter | ||||||
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Clicking on the
will encode all question/answer pairs for evaluations.When
show in orange means that the vectors have been loaded and its ready to use for matches.Click on
to copy the sentence embedding vector of the question (top) or answer (bottom) for debugging purposes.Include Page | ||||
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