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CogniVis AI
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  • FAQ

MediaWiki AI

AI based on MediaWiki Pages and Revisions

Introduction

What is MediaWiki?

MediaWiki is a free and open-source software platform for creating and managing collaborative websites, most notably used for Wikipedia. It allows users to create, edit, and organize content easily, making it a powerful tool for knowledge management and documentation within organizations.

What is CogniVis AI?

CogniVis AI is a platform that enables you to pull data from different sources and combine them with each other to create practically useful AI tools. Sources may include your internal company knowledgebase and a variety of most popular business apps like GitHub, Jira, Slack, and more.

This enables you to easily create AI chatbot assistants (internal), custom generators and even embeddable AI chat widgets trained on your data.

How CogniVis AI works with MediaWiki?

The MediaWiki Connector integrates with your MediaWiki-powered site, retrieving structured content for analysis, insights, and knowledge management.

What exact sources are pulled:

  • Pages
  • Page title
  • Page content text
  • Page URL
  • Page categories
  • Page contributors (authors)
  • Page last update date
  • Sections
  • Section titles
  • Section content
  • Revisions
  • Revision history (if enabled)
  • Revision author
  • Revision date
  • Links
  • Internal links (to other pages on the same MediaWiki instance)
  • Files
  • File attachments (if available through API)
  • File URLs

Configuration

Add the connector to CogniVis

Navigate to CogniVis Connectors

In your platform, go to the Admin Panel, which you can find in the top right corner of the screen.

Go to the Add Connector section in the menu on the left side of the screen.

Then, search for and select the MediaWiki connector.

Specify the repo

To index the selected page, give a name to the connector, provide its URL, specify the language code, and optionally provide the page name or category name.


Free trial

If you are interested in creating your own automations and workflows with artificial intelligence based on your data, you can request a free trial of our solution. Please book a demo with us to get started.

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On-premise

Enterprise organizations can choose to deploy this connector on-premise. On-premise deployment provides additional security and privacy, it means that the connector will be hosted on your own servers which you can control and manage.

This option is suitable for organizations that have strict data privacy and security requirements, want to integrate with their existing infrastructure, or need to comply with specific local regulations.

Contact our team & learn about options of deploying this connector on premise.

book a demo learn more about on-premise ai

Use cases

Check out potential benefits and use cases for this connector.

Enhanced Knowledge Retrieval

By integrating MediaWiki with CogniVis AI, users can quickly and efficiently retrieve structured and unstructured data from MediaWiki pages. This improves the efficiency of information searches and ensures users have access to the most relevant content.

Automated Query Responses

CogniVis AI can automate responses to user queries based on MediaWiki content. This automation speeds up response times for complex knowledge searches, providing users with instant answers and reducing the need for manual intervention.

Centralized Knowledge Access

The integration allows for centralized access to content from multiple MediaWiki instances or sections. Users can navigate seamlessly across interconnected articles and categories, improving the organization and accessibility of knowledge.

Continuous Knowledge Updates

With access to organization-specific knowledge bases stored in MediaWiki, CogniVis AI ensures continuous availability of up-to-date and verified content. This keeps the knowledge repository current and reliable for all users.

Personalized Content Recommendations

CogniVis AI can tailor recommendations and content based on user preferences and queries. This personalization enhances user engagement by providing more relevant search results and suggestions.

Scalable Knowledge Management

The integration facilitates easy addition of new content, categories, and pages from MediaWiki. This scalability requires minimal technical effort, making it easier to maintain large volumes of knowledge efficiently.

Improved Team Collaboration

Integrating MediaWiki with CogniVis AI enhances documentation and team collaboration. Users can track changes and updates through MediaWiki’s version history, ensuring transparency and accountability in collaborative projects.

Unified Documentation Source

CogniVis AI can pull from various internal wikis and knowledge repositories, creating a unified documentation source. This streamlines access to diverse information sources, making knowledge management more cohesive and efficient.

Enhanced Search Capabilities

The AI-enhanced search functionality can process and interpret complex queries, providing more accurate and comprehensive search results from MediaWiki content. This improves the overall user search experience.

Historical Data Insights

Access to MediaWiki’s version history allows CogniVis AI to analyze historical data and changes over time. This can provide valuable insights into content evolution, helping in trend analysis and decision-making processes.

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  • Introduction
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