GraphRAG-Dify: Equipping Dify with GraphRAG Capabilities

General Introduction

GraphRAG-Dify is an open source project , designed to combine GraphRAG and Dify technology , rapid creation and deployment of AI Agents. the project utilizes FastAPI and Uvicorn for service building , and supports DSL import , which is convenient for users to integrate and use in real applications .

Function List

• Create AI Agent: Combine GraphRAG and Dify technology to quickly create an AI Agent.
• Service building: Use FastAPI and Uvicorn for service building to ensure efficient operation.
• DSL Import: Supports DSL import for easy user integration and use.
• Code Management: Provides detailed code management and version control functions.
• Compatibility: Compatible with the latest official version to ensure the stability and reliability of the code.

Using Help

Installation and Configuration

1. Clone Code Repository::

   git clone https://github.com/brightwang/graphrag-dify.git
   cd graphrag-dify
   

2. Installation of dependencies: Inpyproject.tomlfile, add the following dependency packages and runpoetry install::

   [tool.poetry.dependencies]
   fastapi = "^0.115.0"
   uvicorn = "^0.31.0"
   asyncio = "^3.4.3"
   utils = "^1.0.2"
   

3. Configuring GraphRAG: Willmain.pyfile in the GraphRAG project source root directory and place thesearch.pycap (a poem)search_prompt.pyOverwrite the GraphRAG source files according to the directory location in the repository.
4. Generating Indexes: Store the generated index files in the root directory of theindexesCatalog.

Using GraphRAG-Dify

1. Starting services: Use the following command to start the GraphRAG service:

   poetry shell
   uvicorn main:app --reload --host 0.0.0.0 --port 8000
   

2. Test Enquiry: Refer to the following command to test whether the service is running properly:

   poetry run poe query --root . /indexs/wzry ---method local --response_type search_prompt "What skills does Xiang Yu have"
   

3. Import Dify DSL: Import the two DSLs from Dify and re-publish the workflow as a tool and re-reference it in Agent, as described in the video tutorial in the project.

Detailed function operation flow

• GraphRAG combined with Dify::
  1. Expose GraphRAG as an HTTP service for use by Dify.
  2. Configure Dify's Agent to be able to invoke services provided by GraphRAG.
  3. Define Dify's workflow via DSL and publish it as a tool.
• Testing and validation::
  1. Verify the correctness of the service using the test commands provided.
  2. Adjust configuration files and code to ensure stable service operation.
• Optimization and Maintenance::
  1. Dependency packages are updated regularly to maintain compatibility with the official version of GraphRAG.
  2. Optimize code and configuration to improve service performance based on actual usage.

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