cassio 0.0.2

A framework-agnostic Python library to seamlessly integrate Apache Cassandra with ML/LLM/genAI workloads.

cassIO

A framework-agnostic Python library to seamlessly integrate Apache Cassandra with ML/LLM/genAI workloads.

Note: this is currently an alpha release.

Users

Step 1: pip install cassio.

Step 2: for example usages and integration with higher-level LLM frameworks such as LangChain, please visit cassio.org.

Step 3: if you need the (experimental) Vector Search capabilities, you'll have to install custom Cassandra drivers on top of the one shipping with the package. Check requirements-dev.txt to find out how to do it.

CassIO developers

Developing

To develop cassio, use the requirements-dev.txt (which also builds the experimental vector support for the Python drivers).

To use the dev version in an integration (e.g. your branch of LangChain),

• pip install -e . in this cassio repo;
• pip install -e . in the LangChain cassio branch of this fork;
• plus any additional requirement files specific to the examples you're running (such as Jupyter).

Publishing

# (bump version & commit ...)
python setup.py sdist bdist_wheel
twine upload dist/*
# (login to PyPI ...)

Unit testing

In a virtualenv with the requirements-dev.txt installed, run:

pytest

(there's not ... much yet in the way of testing).