---
title: "mteb"
type: "tool"
slug: "embeddings-benchmark-mteb"
canonical_url: "https://www.graphcanon.com/tools/embeddings-benchmark-mteb"
github_url: "https://github.com/embeddings-benchmark/mteb"
homepage_url: "https://docs.mteb.org"
stars: 3349
forks: 638
primary_language: "Python"
license: "Apache-2.0"
archived: false
categories: ["evaluation-observability"]
tags: ["evaluation", "embeddings", "benchmark", "multilingual-nlp", "information-retrieval", "retrieval", "multimodal"]
updated_at: "2026-07-12T07:27:19.355553+00:00"
---

# mteb

> State-of-the-art evaluation of embeddings across languages and modalities

MTEB provides comprehensive benchmarks for evaluating embeddings in various language settings and modalities, including multilingual NLP and multimodal tasks.

## Facts

- Repository: https://github.com/embeddings-benchmark/mteb
- Homepage: https://docs.mteb.org
- Stars: 3,349 · Forks: 638 · Open issues: 295 · Watchers: 17
- Primary language: Python
- License: Apache-2.0
- Last pushed: 2026-07-09T13:09:14+00:00

## Trust & health

_Signals computed from public GitHub metadata. Not a security guarantee._

- Maintenance: Very active (computed 2026-07-11T11:29:11.271Z)
- Security scan: No lockfile (0 critical, 0 high, 0 medium, 0 low) · last scan 2026-07-11T11:29:11.838Z
- Full report: [trust report](/tools/embeddings-benchmark-mteb/trust.md) · [JSON](https://www.graphcanon.com/api/graphcanon/tools/embeddings-benchmark-mteb/trust)

## Categories

- [Evaluation & Observability](/categories/evaluation-observability.md)

## Tags

evaluation, embeddings, benchmark, multilingual-nlp, information-retrieval, retrieval, multimodal

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_+ 2 more not listed._

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/embeddings-benchmark-mteb`](/api/graphcanon/tools/embeddings-benchmark-mteb)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_