GeorgePearse/QDrant-NLP

QDrant-NLP

19
/ 100
Experimental

This tool helps data scientists and machine learning engineers explore and label text datasets efficiently. You input your text data, and it allows you to interactively create and store queries to find similar text snippets, helping you quickly identify relevant examples for model training or analysis. The output is a categorized view of your text data based on your queries, ready for further use.

No commits in the last 6 months.

Use this if you need to quickly explore, query, and label text data using a vector database without writing extensive code, especially for proof-of-concept projects.

Not ideal if you require a full-fledged, enterprise-grade data labeling platform with advanced active learning features and comprehensive data management.

text-analysis data-labeling natural-language-processing machine-learning-engineering
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 6 / 25

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Stars

12

Forks

1

Language

Python

License

Last pushed

Aug 30, 2022

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/GeorgePearse/QDrant-NLP"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.