Supplementary Materials. Multi-Attribute Semantic Search Article

This repository contains supplementary materials for the original article "Multi-attribute search with vector embeddings".

Contents

1. Jupyter Notebook: notebook.ipynb

   • This notebook demonstrates the implementation of multi-attribute vector search using the Superlinked framework as well as the naive approach.

2. Dataset: monsters.json

   • A JSON file containing a list of 20 unique monsters with properties such as name, look, habitat, and behavior.

3. Query Examples: queries.json

   • A JSON file containing 5 example queries.

Contact

For any questions or feedback, please contact Andrey Pikunov.

Happy searching!