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ragflow-api

by witmeng · v0.0.7

a tools for RAGFlow api to list the dataset, document, chunks and add chunks

9.2k installsUpdated May 29, 2025
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This community listing does not yet include every recommended support, privacy, pricing, and permission disclosure. Review the available package permissions before installing.

Capabilities

Tools

Available inside your emploidai workspace after installation.

Data sources

Available inside your emploidai workspace after installation.

Category

tool

Version

0.0.7witmeng

Requirements

Maximum memory 256MB

Pricing

Not disclosed by publisher

Security & access

Review before installing

CompatibleRequires emploidai 1.0.0+

Permissions

  • Uses app capability
  • Uses endpoint capability
  • Uses model capability
  • Uses storage capability
  • Uses tool capability
  • Requires encrypted tool credentials

Dependencies

No additional dependencies

Resources

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ragflow-api

Author: witmeng Version: 0.0.1 Type: tool

Description

This Dify plugin tool provides interaction capabilities with the Ragflow API, allowing users to read Ragflow datasets, documents, and data chunks, add data chunks, and retrieve data within Dify workflows.

Key features include:

  • List Datasets: Query and return dataset IDs in Ragflow based on name. ----The dataset name needs to be an exact match, returns the dataset ID

  • List Documents: Query and return document IDs in Ragflow based on name. ----The document name needs to be an exact match, returns the document ID

  • List Chunks: Query and return data chunk content in Ragflow based on keywords. ----Uses fuzzy matching with keywords, returns an array of data chunks.

  • Add Chunks: Add new content data chunks to a specific document within a specified dataset. ----Returns: JSON after successful addition

  • Retrieve Data: Retrieve information related to keywords based on the specified dataset (document optional). ----Returns: Array of database results

Use Cases:

  • Automate the management of Ragflow datasets.
  • Integrate Ragflow's document processing workflow into Dify applications.
  • Connect RAGFlow knowledge base to Dify.

Configuration:

  • Requires configuring the Ragflow API app_key (Ragflow API Key) and app_url (Ragflow server address) in the Dify plugin credentials.

Contact Us

If you have any questions or suggestions about this, please contact us through the following methods:

  • https://github.com/witmeng/dify_plugin
  • Email：myspsp@gmail.com