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EU AI Act Compliance Chatbot

EU AI Act Compliance Chatbot

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github.com/thoughtgeekAI & Agents0Updated 82w ago

About EU AI Act Compliance Chatbot

EU AI Act Compliance Chatbot answers questions about the EU AI Act using vector search and a knowledge graph. It is intended for people seeking information from the Act’s original text.

Key features

  1. 01EU AI Act question answering
  2. 02Vector search
  3. 03Knowledge graph retrieval
  4. 04Document processing pipeline
  5. 05FastAPI application

Use cases

  1. 01Finding information in the EU AI Act
  2. 02Querying the Act’s processed document
  3. 03Serving a local question-answering API

MCP support

The project is described as an MCP server, but the README does not specify MCP tools or other exposed capabilities.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

EU AI Act Compliance Chatbot

A chatbot designed to answer questions about the EU AI Act using a hybrid retrieval approach (vector search + knowledge graph).

Setup

  1. Install Poetry: If you don't have Poetry installed, follow the instructions here.
  2. Clone the repository:
    git clone <your-repo-url>
    cd eu-ai-act-chatbot
    
  3. Install dependencies:
    poetry install
    
  4. Set up environment variables:
    • Copy the .env.example file to .env:
      cp .env .env # Or .env.example if you rename the template
      
    • Fill in your API keys and service details in the .env file.
  5. Download the EU AI Act PDF: Place the PDF file in a data/ directory (you might need to create it) and name it eu_ai_act.pdf.

Processing Data

To process the EU AI Act document and populate the vector store and knowledge graph:

poetry shell
python -m scripts.process_eu_ai_act

Running the API

To run the FastAPI application locally:

poetry shell
uvicorn src.eu_ai_act_chatbot.api.main:app --reload

The API will be available at http://127.0.0.1:8000. You can access the interactive documentation at http://127.0.0.1:8000/docs.

Running Tests

poetry shell
pytest

Deployment (AWS Lambda)

  1. Create a deployment package:
    # Ensure dependencies are installed in the project's virtual env
    poetry install --no-dev
    
    # Create the package directory
    mkdir package
    
    # Install dependencies into the package directory
    poetry run pip install --upgrade pip
    poetry run pip install -r <(poetry export -f requirements.txt --without-hashes) --target ./package
    
    # Copy source code and Lambda handler
    cp -r ./src ./package/
    cp lambda_function.py ./package/
    
    # Create the zip file
    cd package
    zip -r ../deployment.zip .
    cd ..
    
  2. Upload deployment.zip to your AWS Lambda function.
  3. Ensure the Lambda function's handler is set to lambda_function.lambda_handler.
  4. Configure necessary environment variables in the Lambda function settings.

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