Changelog

New updates and improvements to Runbear.

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Slack as a Knowledge Base, Annotations, and More

Using Slack as a Knowledge Base

slack-knowledge-base We're excited to introduce a new way to leverage your team's Slack conversations. This integration enables your AI assistant to answer recurring questions by learning from your team's historical discussions.

What's New

  • Transform your Slack channels into a searchable knowledge base
  • Let your AI assistant handle repeated questions automatically
  • Save your team's time by reducing redundant explanations
  • Keep knowledge base fresh with automatic conversation syncing

Comparison with Message Fetch Action
While Message Fetch is perfect for daily recaps or accessing recent messages (last 30 days), the new Knowledge Base integration builds a comprehensive, searchable archive of your team's knowledge.

Check out our guide for detailed setup instructions.

Annotations in Generated Answers

We’ve enhanced our answer generation with Annotations, which includes references to the knowledge sources used. This feature helps users trace back to the original information sources, making the answers more transparent and reliable. annotations

To enable annotations, go to the Assistant page, select the Channel tab, and open the Preferences section. For a step-by-step walkthrough, follow this interactive guide.

LaserAway Success Story

laseraway x Runbear LaserAway, a leader in aesthetic services, sought a streamlined way to provide timely support for its growing team. By implementing AI assistants in Slack using Runbear, they automated responses to common inquiries, enhancing internal communication and improving productivity. Check out this case study to learn how LaserAway leveraged AI assistants using Runbear to transform their support experience.

Other changes

  • Improved error handling when OpenAI API key has insufficient permissions.
  • Streamlined the connection process when importing OpenAI assistants.