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I am creating a chatbot using Dialogflow-Cx. A few of the documents in
my datastore are very large, with a few hundreds of pages, some are in
PDF format and some are in HTML format.I am wondering how DF handles
such big documents, and whether I can h...
I have an active Dialog CX agent, and I wish to test its response for a
large set of queries. Is there an API interface (Python is preferred) to
query an agent and collect its response?
I am trying to translate domain-specific English (en-US) text to Chinese
simplified (zh). I have created a glossary, however, it looks like
CloudTranslate gives precedence to other translations over the
glossary.For example, the word "fabric" has man...
Hi @xavidop.Thank you for your explanation, but there is still one point
that is not clear to me. Is the structure of a document taken into
account?For example. Let's assume a document with two sections, sections
A and B, each describing a different ...
Hi @xavidop.Please elaborate on chunks. Chunks of what, words,
sentences, paragraphs,..? What is the size of a chunk? How does the
segmentation into chinks determined and does it take into account the
structure of the document?In my case, the documen...
Thanks, that was very helpful.I don't get any response when I try it,
and the script hangs on the "response =
session_client.detect_intent(request=request)" line. I know the agent is
alive since I can interact with it through the integrated HTML
inte...
Thanks, this is the same reference that I used. As I understand it is
the same function as translating without a glossary, but I need to
populate the "glossary_config" in the request.Did I miss anything?This
is my code: def my_translate(self, text): ...
