Amazon Kendra offers highly accurate semantic and natural language search powered by machine learning (ML).
Many organizations use GitHub as a code hosting platform for version control and to redefine collaboration of open-source software projects. A GitHub account repository might include many content types, such as files, issues, issue comments, issue comment attachments, pull requests, pull request comments, pull request comment attachments, and more. This corpus data is scattered across multiple locations and content repositories (public, private, and internal) within an organization. However, surfacing the relevant information in a traditional keyword search is ineffective. You can now use the new Amazon Kendra data source for GitHub to index specific content types and easily find information from this data. The GitHub data source syncs the data in your GitHub repositories to your Amazon Kendra index.
This post guides you through the step-by-step process to configure the Amazon Kendra connector for GitHub.

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