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Chatbot SDK – Discover the Power of Chatbot SDK

kommunicate

Last Updated on May 26, 2023 A Chatbot SDK (Software Development Kit) is a set of tools and resources that developers can use to build and deploy chatbots on various platforms. These kits typically include libraries, APIs, documentation, and sample code.

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Building AI chatbots using Amazon Lex and Amazon Kendra for filtering query results based on user context

AWS Machine Learning

It indexes the documents stored in a wide range of repositories and finds the most relevant document based on the keywords or natural language questions the user has searched for. Additional refinement is needed to find the documents specific to that user or user group as the top search result.

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Build a powerful question answering bot with Amazon SageMaker, Amazon OpenSearch Service, Streamlit, and LangChain

AWS Machine Learning

Amazon Lex provides the framework for building AI based chatbots. A small number of similar documents (typically three) is added as context along with the user question to the “prompt” provided to another LLM and then that LLM generates an answer to the user question using information provided as context in the prompt.

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The Comprehensive Guide to NICE CXone’s Latest AI-Driven Release

Expivia

This is the next generation in the Generative AI Chatbot. API Openings and Screen Recording for Chrome OS: Opening APIs for analytics, particularly for full transcription data, and introducing screen recording capabilities for Chrome OS users are significant steps forward.

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Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models

AWS Machine Learning

Powered by Amazon Lex , the QnABot on AWS solution is an open-source, multi-channel, multi-language conversational chatbot. This includes automatically generating accurate answers from existing company documents and knowledge bases, and making their self-service chatbots more conversational.

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How BrainPad fosters internal knowledge sharing with Amazon Kendra

AWS Machine Learning

In our case, it was scattered across our internal wiki and various document files. We can easily import documents from a variety of media, including groupware, wikis, Microsoft PowerPoint files, PDFs, and more, without any hassle. This was because some of the data sources contained information from internal blog posts, for example.

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Create powerful self-service experiences with Amazon Lex on Talkdesk CX Cloud contact center

AWS Machine Learning

This blog post is co-written with Bruno Mateus, Jonathan Diedrich and Crispim Tribuna at Talkdesk. In the second part of this series, we describe how to use the Amazon Lex chatbot UI with Talkdesk CX Cloud to allow customers to transition from a chatbot conversation to a live agent within the same chat window.