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SeekTime Super Rag Component

by seektime · v0.0.2

Automatic and precise slicing of document materials, powerful multimodal chart understanding ability, high accuracy of Q&A, and precise traceability of answers to the specific location of the original text, allowing you to immediately have the world's leading AI knowledge base capability!

643 installsUpdated Aug 25, 2025
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Capabilities

Tools

Available inside your emploidai workspace after installation.

Data sources

Available inside your emploidai workspace after installation.

Category

tool

Version

0.0.2seektime

Requirements

Maximum memory 256MB

Pricing

Not disclosed by publisher

Security & access

Review before installing

CompatibleRequires emploidai 1.0.0+

Permissions

No permissions were declared by the publisher.

Dependencies

No additional dependencies

Resources

Privacy policy
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SeekTime Super Rag Component

Author: SeekTime Version: 0.0.2 Type: tool

Description

The SeekTime Super Rag Component is a Dify plugin designed for the knowledge base Q&A product of Shanghai Seek-Time Technology Co., Ltd. Automatic and precise slicing of document materials, powerful multimodal chart understanding ability, high accuracy of Q&A, and precise traceability of answers to the specific location of the original text, allowing you to immediately have the world's leading AI knowledge base capability!

Main functions

  • Query processing: Based on the query text and scope entered by the user, send a request to the remote server to obtain relevant knowledge base content.
  • Reference formatting: Processing the reference content returned by the server, converting the reference anchor and target (such as image URL) into a user-friendly format.
  • Error Handling: Capture and return error messages related to HTTP requests, JSON parsing, or other exceptions to ensure user experience.

Usage scenarios

  • Enterprise Knowledge Base Q&A: Integrate the knowledge base system of Shanghai Qiusuo Time Technology Co., Ltd. to provide users with accurate Q&A services.
  • Reference display: Present the reference content (such as images) in a visual way in the knowledge base to enhance the interactive experience.

Preconditions

  • Server Access: Need to access the knowledge base server of Shanghai Qiusuo Time Technology Co., Ltd. (default address:https://www.seek-time.com:43032).
  • Access Token: Users need to access the knowledge base system of Shanghai Qiusuo Time Technology Co., Ltd. to obtain the access token.
  • Supported file formats: The plugin processes server responses in JSON format, ensuring that the data format returned by the server is compatible.

Installation steps

  1. Obtain plugin:
  • Download the SeekTime Super Rag Component from Dify Marketplace.
  • Reference [Shopify Plugin Development Document]( https://docs.dify.ai/plugin-dev-zh )Configure plugin environment.
  1. Configure plugins:
  • In the Dify platform, go to 'Studio' ->'Create Application' ->'Add Plugin'.
  • Select the SeekTime Super Rag Component and add it to your application workflow.
  1. Set Parameters:
  • Configure the following parameters:
  • Origin (optional): Remote server address, default value ishttps://www.seek-time.com:43032.
  • Token (required): The access token used for authentication.
  • text (required): The query text entered by the user.
  • 'scopes' (required): Query scope, a comma separated string (such as' scope1, scope2 ').
  1. Workflow Integration:
  • In the Dify workflow, place the SeekTime Super Rag Component node in the appropriate position (such as after the user inputs the node).
  • Map user input variables (such as' sys. query ') to' text '.
  • Configure downstream nodes to receive output from the SeekTime Super Rag Component (text messages or formatted reference content).

Example usage

Workflow configuration
  1. Create a Dify chatbot application.
  2. Add the SeekTime Super Rag Component node and set the parameters:
{
"origin": " https://www.seek-time.com:43032 ",
"token": "your-access-token",
"text": "{{sys.query}}",
"scopes": "knowledge,faq"
}
  1. Connect the output of SeekTime Super Rag Component to the LLM node or directly reply to the node to generate the final response.
  2. Debug and release the application.
User interaction
  • User input question: 'What is a knowledge base question answering system?'? `
  • The plugin sends a request to the server to retrieve relevant knowledge base content.
  • The plugin processes the returned reference content and generates formatted text and image links.
  • Output example:
A knowledge base question answering system is an intelligent system that utilizes large-scale language models and knowledge base retrieval techniques to provide accurate answers. [1]
<img src=' https://www.seek-time.com:43032/agents/api/v1/pdf_image/12345 ' />

Precautions

  • Privacy and Data Security: The plugin will send the query text and token entered by the user to the remote server. Please refer to the [Privacy Policy] (QueryTool-Privacy. Policy. md) for details on data processing and ensure compliance with the privacy policy of the target server.
  • Server Dependency: Plugin functionality depends on the availability and response format of the remote server. Ensure that the server address is correct and the service is running smoothly.
  • Error Handling: If an HTTP request fails or JSON parsing error occurs, the plugin will return a clear error message for easy debugging.

Frequently Asked Questions

How to obtain an access token?

  • Please refer to the documentation of the knowledge base system of Shanghai Qiusuo Time Technology Co., Ltd. to obtain a valid access token.

Contact Information

If you need technical support or feedback, please contact the technical support team of Shanghai Qiusuo Time Technology Co., Ltd. Github:https://github.com/DeepSophos/extensions