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In today’s rapidly evolving digital world, organizations are continually juggling copious amounts of data to stay ahead. As businesses invest more in digital assets, the need for effective enterprise search solutions becomes crucial. Enter Amazon Kendra: an intelligent search service powered by machine learning that facilitates the task of locating useful information within your organization.
Amazon Kendra has upped its game with the release of its new Connector V2 for Confluence, a groundbreaking solution for searching information in both the cloud and data center. Employing machine learning, the connector effectively expedites searches for unstructured documents that contain natural language content. Read on to uncover the exciting new features and the ultimate benefits of harnessing this advanced enterprise search technology.
The Amazon Kendra Connector V2 for Confluence revolutionizes your search capabilities, providing support for OAuth 2.0 authentication and the ability to crawl comments in addition to spaces, pages, blogs, and attachments. Besides these remarkable enhancements, V2 offers fine-grained choices for sync scope, the option to import identities, regex support for selecting entity titles and file types, and multiple sync modes to cater to varying organizational needs.
Getting started with the Amazon Kendra Connector for Confluence is straightforward. Follow these five simple steps to index your Confluence repository:
Choose an authentication mechanism: Connect your Confluence data source to Amazon Kendra through either Basic Authentication or OAuth 2.0 Authentication.
Configure an app on Confluence and obtain connection details: Once you have selected an authentication method, configure an app in your Confluence instance and obtain the necessary connection details.
Store details in AWS Secrets Manager: Protect your connection details by storing them securely in the AWS Secrets Manager.
Create a Confluence data source V2 via the Amazon Kendra console: Log in to the Amazon Kendra console and create a new Confluence data source V2 using the secure connection details.
Index the data in the Confluence repository: Initiate the indexing process to allow Amazon Kendra to analyze your repository content, thereby creating a seamless search experience.
By leveraging the Amazon Kendra Connector V2 for Confluence, you empower your organization with accelerated, intelligent search capabilities. By addressing the core challenges of enterprise search—such as handling unstructured documents containing natural language content—your organization becomes more proficient in both knowledge discovery and resource optimization.
In conclusion, the Amazon Kendra Connector V2 for Confluence is your ticket to unlocking machine learning power within your organization’s search engine. Don’t let important data slip through your fingers; explore the updated features and introduce this cutting-edge solution to enhance your enterprise search capabilities. With Amazon Kendra at your service, the future of enterprise search will remain dynamic, seamless, and extensive.
Up until working with Casey, we had only had poor to mediocre experiences outsourcing work to agencies. Casey & the team at CJ&CO are the exception to the rule.
Communication was beyond great, his understanding of our vision was phenomenal, and instead of needing babysitting like the other agencies we worked with, he was not only completely dependable but also gave us sound suggestions on how to get better results, at the risk of us not needing him for the initial job we requested (absolute gem).
This has truly been the first time we worked with someone outside of our business that quickly grasped our vision, and that I could completely forget about and would still deliver above expectations.
I honestly can’t wait to work in many more projects together!
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*The information this blog provides is for general informational purposes only and is not intended as financial or professional advice. The information may not reflect current developments and may be changed or updated without notice. Any opinions expressed on this blog are the author’s own and do not necessarily reflect the views of the author’s employer or any other organization. You should not act or rely on any information contained in this blog without first seeking the advice of a professional. No representation or warranty, express or implied, is made as to the accuracy or completeness of the information contained in this blog. The author and affiliated parties assume no liability for any errors or omissions.