Skip to main content

Integration Overview of AskTable

As a new generation AI data intelligence agent, AskTable not only has comprehensive functions in core data processing and intelligent Q&A, but also has been comprehensively designed in terms of integration capabilities.

The core goal of AskTable is: Making data insights ubiquitous.

To achieve this, we have provided multi-level integration interfaces in the architecture design, ensuring that AskTable can be flexibly embedded into various business systems and application scenarios.

Why is Integration Important?​

Enterprises already have a large number of existing systems (office software, business applications, enterprise IM, AI Agent platforms, etc.). AskTable does not need to replace them, but rather embeds itself within them in the form of a "lightweight entry point." This way:

  • Users don't need to switch environments; they can directly obtain data insights within familiar systems.
  • The access threshold for developers is low, allowing quick integration through standardized SDKs, APIs, or iFrames.
  • The range of covered scenarios is more comprehensive, as AskTable can appear on web pages, mobile apps, mini programs, DingTalk, Enterprise WeChat, and even on AI agent platforms such as Dify and HiAgent.

This "embeddable anywhere" capability enables AskTable to truly evolve from an independent tool into a fundamental capability for enterprise information technology and intelligence.

Integration Architecture Levels​

integration-intro

According to the architecture diagram, the integration system of AskTable can be divided into the following layers:

  1. Core Kernel

    • AskTable provides powerful data processing and intelligent analysis capabilities, serving as the core of the entire system.

  2. Standard API Layer

    • Provides HTTP Restful API to ensure cross-platform and cross-language calling capabilities.

  3. Developer Interface Layer

    • Offers Python/Java SDKs for convenient integration by developers.
    • Provides iFrame plugins for low-code/no-code embedded integration.

  4. Intelligent Agent and Middleware Layer

    • Supports MCP (Model Context Protocol), enabling seamless integration with AI Agent platforms such as Dify, HiAgent, and RAGFlow.
    • Through MCP, AskTable can become part of a larger intelligent agent ecosystem.

  5. Application Scenario Layer

    • Web/APP/Mini Programs/DingTalk/Enterprise WeChat: Embedded via SDK, iFrame, or plugins.
    • Third-party platforms such as Feishu, WPS, Baidu Qianfan, and MaxKB: Connected via official or community plugins.
    • Data platforms/Webhook: Integrating AskTable into the ecosystem of third-party platforms to realize automated data flow.

Summary

AskTable is not just an independent AI product, but more importantly, a data intelligence engine that can be everywhere.

Through diverse integration methods, it can appear where users need it most, making data insights as accessible as water and electricity, becoming an essential infrastructure for enterprises.