All Content tagged with Amazon Lex
Amazon Lex is a fully managed artificial intelligence (AI) service with advanced natural language models to design, build, test, and deploy conversational interfaces in applications.
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I just realised that when you have more than 25 slots as part of an intent the additional slots are not visible in the UI. Seems to be some sort of new bug bc it wasn't the case in the past.
Also,...
I'm trying to build a chat bot using AWS Lex v2 bot, which uses a Bedrock knowledge base to answer simple questions in German.
It seems the "AMAZON.qnaintent" is not available in German language. Is...
I'm working on an application that handles customer interactions coming from a chat widget using AWS Connect. Here’s the flow:
1. A customer sends a message via chat widget, which is received by our...
Is there a way I can add colour gradients to the header of the chat window?
Hi,
I want to use Lex to handle a look up of questions and answers, however it seems Kendra doesn't work EU-WEST2.
Is there a way in which I can ask a question in Lex and reply with the closest...
Is it possible within Amazon Connect to use the Get Input module and start on a specific intent?
Id like to go directly into a welcoming message, without having to send a key work like "start" to...
Hi, hoping for a little help.
I would like to change the styling of the AWS Connect widget on the customer side. I have found this article, but not sure how to adapt the script from the widget to...
Hi,
I am testing a flow which routes to a Lex bot, but cannot get it to connect. It falls out through the error prompt.
When I test with a script on my website, the bot doesnt respond (which...
I have set RETRY for my slot to 2...it goes through but if I say NO to the value it still goes back to the the beginning slot fill for the same intent. I want to branch out to another intent but I...
dealing with aws lex bot, I figure out that by testing the bot through aws console voice input, the response time for the transition between slots take some time (2-3) seconds witch is a little bit...
My use case is as follows:
I have a flow that utilizes a Lex bot to interact with customers and capture their sentiments. I've successfully stored these sentiments as a contact attribute within my...