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Multilingual E5 Large

feature-extraction

View on GitHub Official site
Embedding Models MIT Easy setup 12,081,286 stars

Overview

Description

Multilingual E5 Large generates high-quality text embeddings that let your applications understand text meaning across 100 languages. Built by Microsoft Research, it powers multilingual search, semantic matching, and RAG pipelines with a single pre-trained model. The bottom line: drop in a state-of-the-art embedding model and improve search and retrieval across all your multilingual content.

Technical scorecard

License

MIT

Commercial use

Yes

OpenAI-compatible API

No

REST API

No

Fine-tuning support

No

Quantization support

No

Docker available

No

GUI / no-code available

No

Telemetry

Unknown

Offline after setup

Yes

Data & Privacy

Does it send data online?

After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.

Does it store history?

Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.

License checks?

Commercial use is marked as allowed or likely allowed by the listed license.

Telemetry?

Unknown

Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.

Setup & Installation

Easy

A developer can usually get this running with standard docs.

# Start with the official project repository
# https://huggingface.co/intfloat/multilingual-e5-large

Hardware Requirements

Hardware tagsCPU, GPU (NVIDIA)
Languagesmultilingual, af, am, ar, as, az, be, bg, bn, br, bs, ca, cs, cy, da, de, el, en, eo, es, et, eu, fa, fi, fr, fy, ga, gd, gl, gu, ha, he, hi, hr, hu, hy, id, is, it, ja, jv, ka, kk, km, kn, ko, ku, ky, la, lo, lt, lv, mg, mk, ml, mn, mr, ms, my, ne, nl, no, om, or, pa, pl, ps, pt, ro, ru, sa, sd, si, sk, sl, so, sq, sr, su, sv, sw, ta, te, th, tl, tr, ug, uk, ur, uz, vi, xh, yi, zh

Works Well With