dnys1/embedding_explorer
Experiment with text embedding models locally in your browser.
This tool helps data practitioners easily compare how different text embedding models process their specific data. You can upload text data (like from CSVs or SQLite), configure how it's prepared, and then generate embeddings using various models. The output lets you side-by-side evaluate which models perform best for similarity searches and your particular use case.
Use this if you need to quickly experiment with and evaluate multiple text embedding models for a specific dataset, all within your browser.
Not ideal if you need to integrate embedding models into a larger production system or require extensive custom machine learning pipeline development.
Stars
11
Forks
2
Language
Dart
License
—
Category
Last pushed
Nov 24, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/dnys1/embedding_explorer"
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