ismaelcv / vector_storage

A demo repo to explore vectorized storage

Weaviate Quickstart Tutorial

This repository contains files related to the Weaviate Quickstart Tutorial.

The data directory contains the relevant data file.

You will need to install the appropriate Weaviate client library in order to run these.

Python users

The quickstart_end_to_end.ipynb will take you through the tutorial end-to-end. You can run view and run it with a local Jupyter instance, or on a cloud environment such as Google Colab.

JavaScript users

There are three files:

• quickstart_0_delete_class.js
  • Deletes the Question class if one exists
• quickstart_1_import.js
  • Imports the data
• quickstart_2_query.js
  • Performs a nearText query

You can run them with NodeJS, for example by typing: node quickstart_0_delete_class.js.