为团队打造智能助手
  • User

    团队智能助手

    开始与您的团队数据展开全新互动,包括文档、数据库和 API。

    现在开始尝试
  • 开发者

    AI工具开发者

    没有一种通用的 AI 适合您的公司。
    开发者平台支持构建可供 智能助手使用的专属 AI 代理。

    开始开发
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公司文档

请总结最新员工手册中关于远程工作政策和休假请求的关键内容。

Three Steps From Data Source To Intelligent Agent

Build Metadata Enriched Table

Integrate and define clean, semantic tables from diverse data sources

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Forge Intelligent Agents

Build intelligent agents by orchestrating LLMs, Tables and other tools

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Interactive Conversations Over Your Data

Deploy agents to provide accurate answers to end-user queries.

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Enterprise Data Agent Infrastructure

Autopilot for Team Data

When assigned a task, Team Autopilot has the ability to intelligently decompose the task into a series of optimized subtasks. For each subtask, Team Autopilot selects the most appropriate AI tools from a diverse toolkit, which can include universal AI tools (e.g., internet search engines, knowledge graphs, or browsers) or specialized AI utilities provided by the Builder Platform. Additionally, Team Autopilot can autonomously generate, adapt, and execute custom code to solve complex problems. The results from the various subtasks are then seamlessly integrated to deliver a comprehensive solution to the original task, leveraging the full power of automation, AI, and computational resources.

Data Agent Builder with Realtime Collaboration

Customize your data agent by orchestrating LLMs, Tables and other tools, and collaborate with your team in real-time

Semantic Data Layer for LLM

Translate critical business metrics into metadata rich, LLM friendly data units, and make it accessible to your AI agents

Live Table

Sync data from your data source automatically

Built-in Access Control and Data Governance

Fine grained access control to your data, and audit trail for every data access in Agent World