In the Pega Knowledge framework (Strategic Application), authors can embed images directly into knowledge articles using the rich text editor. This request specifically relates to embedded images within article content, and not to file attachments.

Problem Statement
The customer is consuming the Pega Knowledge Search Articles API to retrieve the full content of knowledge articles.

• API: Search Articles
• Method: POST
• Endpoint: knowledge/v1/articles/search

Currently, the API response includes the article content in HTML format where embedded images are returned only as <img> tags with image URLs. The binary content of the images is not included in the API response.

The customer is attempting to recreate the knowledge articles outside of the Pega platform using the API response. While all textual content is available, the absence of image binary data prevents accurate reconstruction of the articles, as only image links are returned and not the actual image content.

As a result, the customer is unable to recreate the articles externally in the same form as authored within Pega Knowledge.

Expectation / Requirement

The customer would like to receive the embedded image binary data directly through the Pega Knowledge API, instead of (or in addition to) the <img> tag reference.

Proposition

1. Can Pegasystems provide support or enhancement to modify the Knowledge API so that embedded images are returned as binary content (for example, Base64-encoded data) along with the article content?

The complete background and supporting details are provided in the attached document for reference.