AWS Machine Learning Blog

Category: Amazon Kendra

Amazon Kendra adds new search connectors from AWS Partner, Perficient, to help customers search enterprise content faster

Today, Amazon Kendra is making nine new search connectors available in the Amazon Kendra connector library developed by Perficient, an AWS Partner. These include search connectors for IBM Case Manager, Adobe Experience Manger, Atlassian Jira and Confluence, and many others. Improving the Enterprise Search Experience These days, employees and customers expect an intuitive search experience. […]

Try asking OSU-OKC bot, OKC Pete, some questions of your own via the university website.

Building an omnichannel Q&A chatbot with Amazon Connect, Amazon Lex, Amazon Kendra, and the open-source QnABot project

For many students, embarking on a higher education journey is an exciting time filled with new experiences. However, like anything new, it also can also bring plenty of questions to answer and obstacles to overcome. Oklahoma State University, Oklahoma City (OSU-OKC) recognized this, and was intent on providing a better solution to address student questions […]

The following diagram illustrates our architecture.

Using Amazon Translate to provide language support to Amazon Kendra

Amazon Kendra is a highly accurate and easy-to-use intelligent search service powered by machine learning (ML). Amazon Kendra supports English. This post provides a set of techniques to provide non-English language support when using Amazon Kendra. We demonstrate these techniques within the context of a question-answer chatbot use case (Q&A bot) where a user can […]

AWS Announces the global expansion of AWS CCI Solutions

We’re excited to announce the global availability of AWS Contact Center Intelligence (AWS CCI) solutions powered by AWS AI Services and made available through the AWS Partner Network. AWS CCI solutions enable you to leverage AWS machine learning (ML) capabilities with your current contact center provider to gain greater efficiencies and deliver increasingly tailored customer […]

The following diagram illustrates our solution architecture.

Building a secure search application with access controls using Amazon Kendra

For many enterprises, critical business information is often stored as unstructured data scattered across multiple content repositories. Not only is it challenging for organizations to make this information available to employees when they need it, but it’s also difficult to do so securely so relevant information is available to the right employees or employee groups. […]

Incremental learning: Optimizing search relevance at scale using machine learning

Amazon Kendra is releasing incremental learning to automatically improve search relevance and make sure you can continuously find the information you’re looking for, particularly when search patterns and document trends change over time. Data proliferation is real, and it’s growing. In fact, International Data Corporation (IDC) predicts that 80% of all data will be unstructured […]

A diagram showing how to Choose create a data source

Getting started with the Amazon Kendra Google Drive connector

Amazon Kendra is a highly accurate and easy-to-use intelligent search service powered by machine learning (ML). To simplify the process of connecting data sources to your index, Amazon Kendra offers several native data source connectors to help get your documents easily ingested. For many organizations, Google Drive is a core part of their productivity suite, […]

Getting started with Amazon Kendra ServiceNow Online connector

Amazon Kendra is a highly accurate and easy-to-use intelligent search service powered by machine learning (ML). To make it simple to search data across multiple content repositories, Amazon Kendra offers a number of native data source connectors to help get your documents easily ingested and indexed. This post describes how you can use the Amazon […]

Incorporating your enterprise knowledge graph into Amazon Kendra

June 2023: This post was reviewed and updated for accuracy. For many organizations, consolidating information assets and making them available to employees when needed remains a challenge. Commonly used technology like spreadsheets, relational databases, and NoSQL databases exacerbate this issue by creating more and more unconnected, unstructured data. Knowledge graphs can provide easier access and […]

Adding custom data sources to Amazon Kendra

Amazon Kendra is a highly accurate and easy-to-use intelligent search service powered by machine learning (ML). Amazon Kendra provides native connectors for popular data sources like Amazon Simple Storage Service (Amazon S3), SharePoint, ServiceNow, OneDrive, Salesforce, and Confluence so you can easily add data from different content repositories and file systems into a centralized location. […]