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

Install Poetry: If you don't have Poetry installed, follow the instructions here.

Clone the repository:

git clone <your-repo-url>
cd eu-ai-act-chatbot

Install dependencies:
```
poetry install
```
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.
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)

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 ..

Upload deployment.zip to your AWS Lambda function.
Ensure the Lambda function's handler is set to lambda_function.lambda_handler.
Configure necessary environment variables in the Lambda function settings.

EU AI Act Compliance Chatbot

README

EU AI Act Compliance Chatbot

Setup

Processing Data

Running the API

Running Tests

Deployment (AWS Lambda)

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