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

AWS Machine Learning

When the user signs in to an Amazon Lex chatbot, user context information can be derived from Amazon Cognito. The Amazon Lex chatbot can be integrated into Amazon Kendra using a direct integration or via an AWS Lambda function. The use of the AWS Lambda function will provide you with fine-grained control of the Amazon Kendra API calls.

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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning

With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG). Contextual-based chatbots – Conversations can rapidly change direction and cover unpredictable topics. Hybrid search can better handle such open-ended dialogs.

APIs 111
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Manage your Amazon Lex bot via AWS CloudFormation templates

AWS Machine Learning

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. Managing your Amazon Lex bots using AWS CloudFormation allows you to create templates defining the bot and all the AWS resources it depends on.

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Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy

AWS Machine Learning

With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data using a fully managed Retrieval Augmented Generation (RAG) model. Filters on the release version, document type (such as code, API reference, or issue) can help pinpoint relevant documents.

APIs 107
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Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat

AWS Machine Learning

RAG allows models to tap into vast knowledge bases and deliver human-like dialogue for applications like chatbots and enterprise search assistants. It provides tools that offer data connectors to ingest your existing data with various sources and formats (PDFs, docs, APIs, SQL, and more). Choose Deploy again to create the endpoint.

APIs 101
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The Future of Debt Collection Agencies: Contact Center Technology and Customer-Centric Strategies

NobelBiz

The integration of these diverse channels into a unified platform ensures that all debtor interactions are tracked and managed cohesively, enhancing efficiency and compliance. These systems help manage debtor profiles, track all communications, and automate follow-ups, thereby ensuring consistency in customer service.

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The ChatGPT Revolution

The Northridge Group

The most recent version of ChatGPT, which is based on GPT-4 and was released in March 2023, is OpenAI’s latest and most advanced chatbot. ChatGPT’s state-of-the-art tools make it possible for users to easily construct sophisticated Conversational AI applications quickly and efficiently. But ChatGPT can do much more than just reply.