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Tips to keep healthy knoweldge base -Document360
Product Update

Tips to keep a healthy knowledge base

• Published: •

Updated on Sep 22, 2026

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AI Summary

  • Keeping a knowledge base healthy ensures that current and correct information is served to content consumers. Techniques include periodic article reviews, archiving old article versions, and listening to end-user feedback.
  • Automatic review reminder helps Document360 content writers review articles at the right time and keep content up to date.
  • Mark as deprecated lets Document360 users mark an article or page as deprecated. Content consumers are automatically informed when viewing outdated content and can be redirected to new content as necessary.
  • End-user feedback helps resolve content inaccuracies, including typos, irrelevant illustrations, and technical errors. Document360 allows feedback to be enabled or disabled individually or for groups of articles when the category type is page.

AI-generated content. It may contain errors.

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Serving the right information to content consumers at the right time should be the mantra for knowledge base owners. Thus, keeping a knowledge base healthy is indispensable for ensuring right and current information is served. This means content writers must keep all the articles in their knowledge base up to date. There are different techniques to maintain a healthy knowledge base, namely

  • Periodic review of articles
  • Archiving old article versions
  • Listening to end users via feedback

We have compiled a few tips to keep your knowledge base healthy.

Periodic review of articles

 Keeping content up to date requires continuous reminders to content writers to review and update the article content accordingly. At Document360, we understood the need for consistent article review reminders.Article review reminder in knowledge base - Document360Article review reminder in knowledge base - Document360Article review reminder in knowledge base - Document360

We have recently released a product feature, “Automatic review reminder”. This feature empowers content writers to review articles at the right time to maintain their knowledge base at healthy state.

Take a look at this short video to understand all about the Document360 article review reminder feature.

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Archiving old article versions

Deprecating old content is necessary to make knowledge base content relevant. Content consumers are reminded if they are looking at old content and redirected to new content as necessary.

Archive old articles in knowledge base- Document360

At Document360, we understood this need for marking articles as deprecated. We have recently released a product feature “Mark as deprecated” whereby you can make an article or page as deprecated. The content consumers are automatically informed that they are looking at outdated article content.

Deprecated label in knowledge base - Document360.

This increases awareness among your content consumers about the status of the content leading to stickiness of your documentation. This also creates positive impact on your content consumers as knowledge base owners are doing diligent work to keep them informed about article content. Here is an elaborate setup guide for you to refer

Listening to end users via feedback

Content consumers’ feedback is important to resolve any content inaccuracies such as typos, irrelevant illustrations, technical errors and so on. At Document360, knowledge base owners can enable or disable feedback to their articles individually or a group of articles (if the category type is page)

Article feedback option in knowledge base -Document360

Conclusion

At Document360, we always listen to our content creator community. We always strive to bring nifty product features that help our content creators and knowledge base owners manage their articles and content respectively.

Now, let’s go and keep your knowledge base healthy!

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Selvaraaju Murugesan

Dr. Selvaraaju Murugesan is Senior Director of Data Science at Kovai.co, leading data science and AI across the company's SaaS platforms. He led the architecture behind Eddy, Document360's AI assistant, a hybrid retrieval system built on MongoDB Atlas Search, vector search, and Voyage AI embeddings that reached 99% content retrieval accuracy and 96% baseline response accuracy. He has published papers in tcworld magazine and has spoken at the tcworld conference in Stuttgart and at ConVEx Silicon Valley. He writes on AI search, documentation analytics, and evaluating generative AI responses.

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