How to Easily Index Your Alfresco Content with the New Amazon Kendra Alfresco Connector
Introduction:
Amazon Kendra is an intelligent search service powered by machine learning that makes it easy to ingest and index content from various sources. It simplifies the process of searching for information stored in structured and unstructured repositories. If you are an enterprise customer using the Alfresco content management platform, you can now use the new Amazon Kendra Alfresco connector to search and retrieve documents stored in your Alfresco repositories and sites. This connector offers support for authentication mechanisms and aspect-based crawling. With Amazon Kendra, you can configure multiple data sources, retrieve documents and comments, authenticate against different platforms, and perform secure searches with access control. This post provides a step-by-step guide on how to build this solution using Amazon Kendra and Alfresco.
Full Article: How to Easily Index Your Alfresco Content with the New Amazon Kendra Alfresco Connector
Amazon Kendra and Alfresco have collaborated to introduce a new connector that allows users to search and retrieve documents stored in Alfresco repositories and sites. This new connector is a part of Amazon Kendra, which is an intelligent search service powered by machine learning. With the help of this connector, users can easily find accurate information across all the stored documents.
Features of the Amazon Kendra Alfresco Connector
The Amazon Kendra Alfresco connector offers support for various authentication mechanisms, including basic and OAuth2 authentication. It also allows for aspect-based crawling of Alfresco repository documents. These features enhance the search capabilities of Amazon Kendra and make it easier to retrieve and search for documents stored in Alfresco.
Solution Overview
The solution provided in this post demonstrates how to use the Amazon Kendra Alfresco connector to retrieve documents and comments from both private and public Alfresco sites and repositories. It also showcases the authentication process for Alfresco On-Premises and PaaS platforms. Additionally, the post highlights the access control capabilities of Amazon Kendra, which ensure secure search functionality across sites and repositories.
Steps to Build the Example Solution
To build the example solution, follow these steps:
1. Upload documents to the Alfresco sites and repository folder.
2. Configure Alfresco permissions to set access permissions for the uploaded documents.
3. Create a new Amazon Kendra index for private and public sites.
4. Create an Amazon Kendra Alfresco data source using Basic authentication for On-Prem private sites and the repository.
5. Create a data source using Basic authentication for PaaS private sites and OAuth2 authentication for PaaS public sites.
6. Perform a sync for each data source.
7. Run a test query in the Amazon Kendra index for private sites and the repository with access control.
8. Run a test query in the Amazon Kendra index for public sites without access control.
Prerequisites
Before proceeding with the solution, you will need the following:
1. An AWS account with IAM privileges.
2. Basic knowledge of AWS and navigating the AWS Management Console.
3. For Alfresco On-Prem platform:
– Create a private site or use an existing site.
– Create a repository folder or use an existing folder.
– Get the repository URL and Basic authentication credentials.
– Ensure authentication users are part of the ALFRESCO_ADMINISTRATORS group.
– Get the public X509 certificate in .pem format.
4. For Alfresco PaaS platform:
– Create private and public sites or use existing sites.
– Get the repository URL, Basic authentication credentials, and OAuth2 credentials.
– Confirm that authentication users are part of the ALFRESCO_ADMINISTRATORS group.
Step 1: Upload Example Documents
Upload documents to the Alfresco private sites and repository folder. Ensure that the uploaded documents are unique across sites and folders. The uploaded documents should be 5 MB or less in text.
Step 2: Configure Alfresco Permissions
Use the Alfresco Permissions Management feature to give access rights to example users for viewing uploaded documents. Set permissions at the document level in private sites. Users’ permissions are retrieved by the Amazon Kendra Alfresco connector and used for access control by the Amazon Kendra search function.
Step 3: Set up Amazon Kendra Indexes
Create a new Amazon Kendra index for private and public sites. Configure access control settings during the creation process. Choose the appropriate token type and user group expansion options. For this example, choose the Developer Edition.
Step 4: Create a Data Source
Create an Amazon Kendra Alfresco data source using Basic authentication for On-Prem private sites and the repository. For PaaS private sites, create a data source using Basic authentication. For PaaS public sites, create a data source using OAuth2 authentication.
Conclusion
The integration of Amazon Kendra with Alfresco provides users with a powerful and efficient search solution for their content management needs. By following the steps outlined in this post, users can easily configure the Amazon Kendra Alfresco connector to search and retrieve documents stored in Alfresco repositories and sites. This collaboration between Amazon Kendra and Alfresco enhances the search capabilities of both platforms and improves the overall user experience.
Summary: How to Easily Index Your Alfresco Content with the New Amazon Kendra Alfresco Connector
Amazon Kendra is an intelligent search service that uses machine learning to deliver accurate results. It offers data source connectors to simplify indexing and searching across structured and unstructured repositories. The new Amazon Kendra Alfresco connector allows users to search documents stored in Alfresco repositories and sites with ease and security. With the ML-powered intelligent search, users can find information from unstructured documents effectively. The solution provides step-by-step instructions on how to configure data sources, upload documents, set up permissions, and create indexes for both private and public sites. Users can also authenticate using Basic or OAuth2 mechanisms for the Alfresco platform.
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