Aicompliance MCP
A Q&A chatbot project about the EU AI Act, using a hybrid retrieval method (vector search + knowledge graph), providing local running and AWS Lambda deployment options.
rating : 2 points
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What is the MCP server?
The MCP server is a tool based on a hybrid retrieval method (vector search + knowledge graph), aiming to help users quickly obtain information about specific topics, such as EU AI regulations. It achieves efficient queries by processing PDF documents and generating indexes.How to use the MCP server?
First, upload your PDF file, then run the script to create a vector store and a knowledge graph. Finally, start the API service and you can begin querying relevant information.Applicable scenarios
It is suitable for professionals who need to deeply understand complex legal texts, such as lawyers, policymakers, and researchers.Main Features
PDF file processingAutomatically parse PDF documents and extract important content for subsequent analysis.
Vector storageOptimize the performance of similarity search using a vector database.
Knowledge graphBuild a semantically associated knowledge network to improve the quality of information retrieval.
Advantages and Limitations
Advantages
Efficient document processing capabilities
Intuitive knowledge visualization effects
Support for multi - language environments
Limitations
May require more computing resources for large documents
The initial setup process is relatively cumbersome
How to Use
Install dependencies
Ensure that Python and the Poetry tool are installed.
Download data
Obtain the target PDF file and place it in the specified directory.
Run the pre - processing script
Execute the script to generate a vector store and a knowledge graph.
Start the API service
Use FastAPI to start the local development environment.
Usage Examples
Query a specific chapterFind a part of the EU AI regulations.
Build a knowledge graphGenerate an interactive chart to show the logical relationships between different clauses.
Frequently Asked Questions
How to install the dependencies required for the MCP server?
What if I encounter a memory shortage?
Does it support PDF files in other languages?
Related Resources
Official documentation
Provide a detailed introduction to the functions of the MCP server.
GitHub repository
An open - source code repository.
Demo video
Watch the operation demonstration.
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