12 posts tagged with "Release"

Today we officially release ChatKit SDK, a full-stack UI solution purpose-built for agent-centric conversation experiences! Whether you’re creating an internal knowledge-base assistant, HR onboarding helper, research companion, shopping concierge, troubleshooting bot, or customer-support agent, ChatKit ships customizable chat embeds that handle every UX detail.

Figure: ChatKit architecture—frontend embed + backend workflow.

Today, we are excited to announce the official launch of XpertAI Agent Platform version 3.7! The core highlight of this update is the newly introduced Agent Middleware feature, providing developers with fine-grained control over agent execution processes and modular extension capabilities, further advancing agent construction from "functional implementation" to a new stage of "controllable processes and malleable capabilities."

XpertAI 3.6 is officially live! This release comprehensively streamlines every stage from knowledge pipeline creation, orchestration, authorization, publishing to knowledge base operations, enabling teams to visually build a reliable knowledge production line. Meanwhile, the plugin system is now a native capability of the pipeline, helping you quickly integrate external data sources and document processing tools via system integration or marketplace plugins.

In today's rapidly evolving technological era, artificial intelligence (AI) is gradually transforming our lives and work. The release of the Xpert AI platform v3.0 marks another significant advancement in this field. This update introduces the Agent Orchestration Platform, allowing enterprises to better manage and utilize AI agents, thereby enhancing the automation and efficiency of business processes.

We are excited to announce the official release of version 2.7 GitHub of the Xpert Analytics Platform! This version introduces four exciting new features aimed at further enhancing user interactions and data analysis experiences. These new features include a brand-new Digital Expert role, a flexible and efficient Knowledge Base system, a powerful Toolsets, and support for Multi-Bots of Feishu in ChatBI. This article will detail how these new features can help you manage data more intelligently and improve work efficiency.

Lark Bot of ChatBI​

In a digital office environment, data-driven decision-making is becoming increasingly important. To help businesses utilize data more efficiently, the ChatBI bot provides an intelligent data querying and analysis solution on the Lark platform.
Through the ChatBI bot, Lark users can easily uncover the value of their data, enabling smarter decision-making and collaboration. Whether for personal use or team collaboration, ChatBI offers robust support for your data analysis needs.

For more details, see ChatBI Lark Bot.

ChatBI Updates​

• Improved the agent logic for creating calculation indicators, enhancing its intelligence level.
• Added a question recommendation feature to help users quickly start conversations.

Lark Single Sign-On​

• Supports identity authentication using Single Sign-On (SSO) on the Lark platform.
• Optimized the security and privacy protection mechanisms for SSO.

We are excited to announce that Xpert Analytics Cloud version 2.5 is officially live! This latest version brings two major feature updates: ChatBI and Story Multi-Agent Command. These new features will further enhance the user experience, making data analysis more convenient, efficient, and intelligent.

We are excited to announce that the latest version of the Xpert Analysis Platform, version 2.4, is now available! As a cloud-based agile AI data analysis platform, it integrates multidimensional modeling, indicators management, and BI visualization to provide users with a one-stop data analysis solution. This update introduces the revolutionary "Copilot Multi-Agent Command" feature, further enhancing the platform's intelligence and user experience.

AI Digital Business Experts​

In Xpert Analysis Platform 2.4, we have introduced a revolutionary feature—the AI Digital Business Experts Platform. This feature aims to digitize professional knowledge and experience from various industries, allowing users to quickly access and apply these valuable resources to build their own enterprise data analysis systems. Whether you are a startup or a large enterprise, this feature enables you to quickly build a data analysis framework tailored to your business needs, improving decision-making efficiency and accuracy.

The platform not only provides users with ready-to-use digital business expert resources but also supports industry experts in digitizing and sharing their expertise with users in need. This sharing and collaboration mechanism promotes the dissemination and application of knowledge, contributing to the progress of various industries.

You can browse more information about AI Digital Business Experts on the AI Digital Business Experts page.

Xpert Analysis Cloud, an agile data analysis platform based on cloud computing, integrates multidimensional modeling, metric management, and BI presentation, aiming to provide users with an efficient and convenient data analysis experience. We are pleased to announce that the latest version 2.3 of Xpert Analysis Cloud has been officially released. This update not only optimizes platform performance but also brings several exciting new features, particularly a comprehensive upgrade to Copilot Command and Roles.

Major Breakthroughs in Copilot​

Copilot Command is an innovative way for users to execute AI functions. By entering commands along with corresponding prompts, the Copilot Agent will invoke large language models (LLMs) and run relevant functions to complete various data analysis tasks. The new version 2.3 of Xpert Analysis Cloud has made significant improvements in this feature:

We have released a new version 2.2.0 with the following major updates:

1. ER Diagram for Cube Designer​

We have added the ER diagram feature to the cube designer. You can now view the data relationship model of cubes through the ER diagram, including fact tables, dimensions, measures, and relationships. This allows you to intuitively understand the data structure of cubes, facilitating data modeling and analysis.