mjul / haystack-lab

Experimental data pipelines with Haystack for Python

Haystack Lab

Experimental data pipeline in Python with Haystack.

Structure

• data - data files
• models - trained models
• notebooks - Jupyter notebooks
• src - Python source code

Setup

Install the environment with Anaconda, see environment.yml.

The key libraries are the Haystack libraries on PyPI:

• farm-haystack
• farm-haystack[crawler]

Also, datasets and pretrained models are from Huggingface:

• datasets

License

MIT License, see the LICENSE file.