Release version 7.3.9
Release version 7.3.9 includes new features, improvements, and bug fixes.
- Feature updates
- Upcoming Product Enhancements
Skypoint AI
Combo Prompting – Structured support: This update empowers users to leverage structured Lakehouse data in Combo Prompting, enabling queries like structured+structured, structured+unstructured, and multi-query support. Experience enhanced data querying capabilities with our latest release, bringing deeper insights and greater versatility to your AI interactions.
Enhanced Error Messaging for Private Copilot: To improve user experience, we've introduced a new feature that delivers user-friendly error messages when system failures or technical errors occur in our Private Copilot. These messages provide clear, empathetic guidance and suggest retrying the request. This update enhances communication and supports users effectively, even during technical issues.
Data Model Context Improvement: We have implemented Levenshtein distance-based matching to replace our previous semantic-based search. This enhancement improves the accuracy and latency of data retrieval, ensuring more precise and faster access to relevant data model contexts.
Platform
- AI Feature Control in Studio: This new feature will enable users to toggle AI features for Copilot directly within the Skypoint AI Studio. With this update, users can easily customize their AI experience to meet their specific preferences and requirements.
- Blueprint SFTP Connector: Introduce a new integration for Blueprint SFTP into Skypoint AI Studio, fulfilling specific requirements. This feature automates data extraction, minor transformations, and loading, with support for folder level entity ingestion.
Skypoint AI
Multi-Retriever support - API Tool support: This feature boosts extensibility by allowing customers to integrate various retrievers via API endpoints, empowering them to customize data retrieval to meet their specific needs. With streamlined integration and improved user experience, users can expect enhanced data retrieval capabilities.
Improve Retrieval Accuracy:This enhancement promises a substantial boost in retrieval accuracy, ensuring users receive more precise and relevant responses to their queries. With this integration, we're ushering in a new era of smarter, more efficient retrieval experiences for our users.
Platform : Upcoming Connectors
Unstructured Deletion/modification support: Users will be empowered to delete and modify existing unstructured data connections, ensuring greater flexibility and efficiency in data management workflows. This update enables users to seamlessly modify connection setups, including file modification, deletion, changes in folder locations etc. This enhancement streamlines data management processes, providing users with increased control and versatility over their data sources.
Bring Your Own Vector DB Integration: We will be introducing the capability for tenants to bring their own Vector DB into the Skypoint AI ecosystem. This feature caters to mid and large-sized customers seeking greater control over their data storage infrastructure. With seamless integration and enhanced customization options, users can expect improved operational efficiency and data governance.
MRI PMX Connector: This API-based connector will seamlessly complement user BAK backup file, providing nightly updates to maintain 'live' data within the Skypoint AI platform.
Enhanced User workflow for Scheduler: Improvements to the workflow and user experience for schedule creation. These enhancements aim to streamline the scheduling process, making it more intuitive and efficient, and providing a smoother and more user-friendly experience overall