| # TSMPD Search Demo Notebook | |
| This directory contains a working Jupyter notebook that demonstrates semantic product search on the TSMPD-US-Public v1.0 dataset. | |
| ## What's Inside | |
| - `tsmpd_search_demo.ipynb`: A step-by-step demo of embedding-based search using `faiss` and `sentence-transformers`. | |
| ## Features | |
| - Load SBERT embeddings from parquet chunks | |
| - Build and query a FAISS index for nearest neighbor search | |
| - Explore how consumers might search across 355k+ small U.S. stores | |
| ## Setup | |
| To run this notebook, install the following: | |
| ```bash | |
| pip install faiss-cpu polars sentence-transformers | |
| ``` | |
| ## Licensing | |
| Code in this notebook is licensed under the MIT License. | |