Skip to main content

LASER Language-Agnostic SEntence Representations Embeddings by Meta AI

LASER is a Python library developed by the Meta AI Research team and used for creating multilingual sentence embeddings for over 147 languages as of 2/25/2024

Dependencies​

To use LaserEmbed with LangChain, install the laser_encoders Python package.

%pip install laser_encoders

Imports​

from langchain_community.embeddings.laser import LaserEmbeddings
API Reference:LaserEmbeddings

Instantiating Laser​

Parameters​

  • lang: Optional[str]
    >If empty will default
    to using a multilingual LASER encoder model (called "laser2").
    You can find the list of supported languages and lang_codes [here](https://github.com/facebookresearch/flores/blob/main/flores200/README.md#languages-in-flores-200)
    and [here](https://github.com/facebookresearch/LASER/blob/main/laser_encoders/language_list.py)
    .
# Ex Instantiationz
embeddings = LaserEmbeddings(lang="eng_Latn")

Usage​

Generating document embeddings​

document_embeddings = embeddings.embed_documents(
    ["This is a sentence", "This is some other sentence"]
)

Generating query embeddings​

query_embeddings = embeddings.embed_query("This is a query")

Was this page helpful?


You can leave detailed feedback on GitHub.