facebookresearch/LASER

Health v2 · maintenance only

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Adoption not part of the score

3660 stars · 462 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

LASER is a Python library from Facebook Research for computing multilingual, language-agnostic sentence embeddings supporting 200+ languages. It includes the pip-installable laser_encoders package plus pipelines for tasks like bitext mining and multilingual similarity search.

Use cases

• compute multilingual sentence embeddings
• find parallel sentences across languages
• do cross-lingual similarity search
• encode sentences in 200+ languages with one model
• mine bitext from monolingual corpora
• build cross-lingual retrieval or zero-shot classification

When to choose

• you need sentence embeddings across many languages including low-resource ones
• you want to mine parallel corpora or do cross-lingual search
• you want a lightweight pip-installable encoder with minimal dependencies

When to avoid

• you only need English sentence embeddings
• you need state-of-the-art LLM-based embeddings rather than a fixed encoder
• you need a maintained project with frequent updates

Facets

library · maturity maintenance

nlp machine-learning search-engine machine-learning python cross-platform sentence-embeddings multilingual multilingual-nlp bitext-mining cross-lingual pytorch natural-language-processing search

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markdown · JSON · MCP: product_card(name="facebookresearch/LASER")