Release version 7.4.4
Release version 7.4.4 includes new features, improvements, and bug fixes.
- Feature updates
- Upcoming Product Enhancements
Skypoint AI
Generic Retriever Support: Users can now effortlessly connect an unlimited number of diverse structured and unstructured retrievers to their copilots, by enabling API Retriever support. This enhancement streamlines the integration process and offers customizable configurations, allowing your copilot to adapt to the evolving needs of your business with ease.
Enhanced UI for Source Details: A new, streamlined method to view source information for responses is now available through our improved interface. Users can quickly review and verify details with a single click, making the process more efficient.
IT & DevOps Updates
Kubernetes Cluster Rearchitecture - We have restructured our Kubernetes services to optimize infrastructure, resulting in improved computing, memory efficiency and better resource management.
Helm & ArgoCD Pipeline Enhancements - Revamped the Helm and ArgoCD pipeline to streamline the deployment process for developers, enabling easier management across multiple Kubernetes clusters.
Enhanced Security Measures - New security policies have been deployed to endpoint devices to strengthen our overall security posture.
Skypoint AI
Skypoint AI Bot for Teams: We're excited to announce the upcoming Skypoint AI Copilot on Microsoft Teams! This integration provides quick and convenient access to Skypoint AI Copilot within the Teams environment, enabling users to chat with their data anytime, anywhere, enhancing productivity and improving the user experience.
Multi-lingual Support - ESP – Spanish: Users will be able to switch the language from English to Spanish with a single click in the settings of Skypoint AI Copilot. This new feature improves accessibility and offers a more inclusive experience for Spanish-speaking users.
Platform
Enhanced Structured Data Configuration: New features will soon allow users to seamlessly configure end-to-end structured data on Skypoint AI Studio. This includes facilitating data annotation, setting up the data model context, and providing example SQL queries. These improvements are designed to enhance the accuracy and usability of Skypoint AI Copilot, ensuring a streamlined and efficient user experience.
Instructions Tuning via Studio: Enhance AI performance by tuning instructions within Skypoint AI Studio. Users can specify domain information, provide details about data sources, and input prompt examples to refine AI reasoning capabilities, tailoring AI responses to specific user requirements.
IT & DevOps
- HITrust Assessments and Certifications: HITRUST certification and optimizing infrastructure efficiency by migrating to Kubernetes.