Jev Decision Index - a Hugging Face Space by multimodalart
Benchmarks and news on various repros of TypeSafe’s Jev
ML Benchmark Tool
Summary
RTEB is an interactive benchmark on Hugging Face Spaces for comparing text embedding models on retrieval tasks. It provides data-driven visualizations allowing users to evaluate and compare different embedding models' performance across retrieval benchmarks.
Highlights
- Interactive comparison of text embedding models on retrieval tasks
- Hosted on Hugging Face Spaces with data-driven visualizations
- Enables evaluation of embedding quality for search and retrieval applications
- Part of the broader Hugging Face ecosystem for NLP model evaluation
auto-generated
Context
Audience
NLP researchers, ML engineers, and developers working on retrieval-augmented generation or semantic search systems
DomainMachine Learning / NLP
Formatinteractive tool
Accessfree online
Source Overview
RTEB is an interactive web application built on Hugging Face Spaces that displays and allows navigation through multiple data-driven content pages.
Users can view and interact with data across different sections of the application. The app retrieves its metadata from the Hugging Face Docker repository.
Topics
Related
MTEB (Massive Text Embedding Benchmark)Sentence TransformersHugging Face Model HubDense RetrievalVector Search
