Category: HAQM Kendra

HAQM Lex is a service that allows you to quickly and easily build conversational bots (“chatbots”), virtual agents, and interactive voice response (IVR) systems for applications such as HAQM Connect. Artificial intelligence (AI) and machine learning (ML) have been a focus for HAQM for over 20 years, and many of the capabilities that customers use […]

This post discusses how to structure internal knowledge sharing using HAQM Kendra and AWS Lambda and how HAQM Kendra solves the obstacles around knowledge sharing many companies face.

HAQM Kendra is a highly accurate and intelligent search service that enables users to search unstructured and structured data using natural language processing (NLP) and advanced search algorithms. With HAQM Kendra, you can find relevant answers to your questions quickly, without sifting through documents. However, just enabling end-users to get the answers to their queries […]

HAQM Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). HAQM Kendra offers a suite of data source connectors to simplify the process of ingesting and indexing your content, wherever it resides. Valuable data in organizations is stored in both structured and unstructured repositories. An enterprise search solution should […]

HAQM Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). HAQM Kendra offers a suite of data source connectors to simplify the process of ingesting and indexing your content, wherever it resides. Valuable data in organizations is stored in both structured and unstructured repositories. HAQM Kendra can pull together […]

HAQM Kendra is an intelligent search service powered by machine learning (ML). HAQM Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they’re looking for, even when it’s scattered across multiple locations and content repositories within your organization. Keywords or natural language questions can be […]

In this post, we discuss a machine learning (ML) solution for complex image searches using HAQM Kendra and HAQM Rekognition. Specifically, we use the example of architecture diagrams for complex images due to their incorporation of numerous different visual icons and text. With the internet, searching and obtaining an image has never been easier. Most […]

June 2023: This post was updated to cover the HAQM Kendra Retrieve API optimized for RAG use cases, and HAQM Kendra retriever now being part of the LangChain GitHub repo. This revision also updates the instructions to use new version samples from the AWS Samples GitHub repo. Generative AI (GenAI) and large language models (LLMs), […]

Many organizations use Gmail for their business email needs. Gmail for Business is part of Google Workspace, which provides a set of productivity and collaboration tools like Google Drive, Google Docs, Google Sheets, and more. For any organization, emails contain a wealth of information, which could be within the subject of an email, the message […]

HAQM Kendra is an intelligent search service powered by machine learning (ML), enabling organizations to provide relevant information to customers and employees, when they need it. HAQM Kendra uses ML algorithms to enable users to use natural language queries to search for information scattered across multiple data souces in an enterprise, including commonly used document […]