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Brighthive V2.0.2 Release Notes

  • Writer: Keagan Pang
    Keagan Pang
  • Apr 11
  • 2 min read

Updated: Aug 7

Release Date: April 11th, 2025


1. Overview

We are excited to announce the release of Version 2.0.2 of the Brighthive platform. Brighthive continues to enhance enterprise focused data environments with a suite of data agents working together as your full data team to accelerate time to insight. 


This version makes significant security improvements for credential management, in addition to significantly improving the accuracy of results of the retrieval agent and user experience improvements on Brightbot.


Highlights of this release include:

  • Significant improvement in the accuracy of the retrieval agent by using a multi-agent orchestrated processing of text to SQL to results. An industry first of using multiple-agents in parallel in an Agentic AI environment.

  • Enhancements to Brightbot’s user experience. Reasoning can now be seen on the main chat window, providing end-users a real-time view of what Brightbot is up to.

  • Securing warehouse credentials is now managed centrally via AWS Secrets Manager and are encrypted both at rest and in transit.


2. Bug Fixes

  • Fixed pagination issues in data catalog.

  • Fixed bugs where descriptions could not be updated, including schema on data assets in the data catalog


3. Feedback

We value your feedback to continue improving the BrightHive platform. Please share your thoughts or report issues to support@brighthive.io.


Our Mission Transform work to become data-informed work for everyone.


About Brighthive 

Brighthive is an AI-powered enterprise data management and analysis platform, powering everyone across an enterprise with a full data management workflow. Powered by seven specialized data agents that work together seamlessly to manage all critical data management tasks — from ingestion, governance, querying and visualization — Brighthive equips every team inside the enterprise with a complete platform that mimics the technical capabilities of human data teams, empowering everyone in the enterprise to be self-servicing to visualize data insights faster and help companies transform work to be data informed work.


 
 
 

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