https://github.com/weaviate-tutorials/vector-provision-options

Tutorial to demonstrate different ways of providing vectors for Weaviate objects
https://github.com/weaviate-tutorials/vector-provision-options

Last synced: about 1 year ago
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Tutorial to demonstrate different ways of providing vectors for Weaviate objects

• Host: GitHub
• URL: https://github.com/weaviate-tutorials/vector-provision-options
• Owner: weaviate-tutorials
• License: mit
• Created: 2023-03-12T22:15:33.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2023-04-03T20:42:15.000Z (about 3 years ago)
• Last Synced: 2025-03-29T06:11:22.937Z (about 1 year ago)
• Language: Jupyter Notebook
• Size: 18.6 KB
• Stars: 6
• Watchers: 3
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
## Data import - Vector provision options in Weaviate

### Overview

When importing objects into Weaviate, you can choose to provide object vectors to Weaviate, or configure a Weaviate vectorizer to obtain vectors at import time. You can even combine these options to configure a vectorizer while explicitly providing vectors.

### Accompanying video

> Note: This Jupyter notebook is an accompaniment to our video tutorial on the topic, which can be found at https://www.weaviate.io/developers/weaviate/manage-data/vector-provision-options

### Dataset

The "winemag_tiny.csv" file contains a tiny subset of "Wine Reviews" dataset from Kaggle. You can find the full dataset here (https://www.kaggle.com/datasets/zynicide/wine-reviews).