| # 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. |
|
|
