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

• List of supported languages athttps://github.com/facebookresearch/flores/blob/main/flores200/README.md#languages-in-flores-200

Dependencies​

To use LaserEmbed with LangChain, install thelaser_encoders Python package.

%pip install laser_encoders

Imports​

from langchain_community.embeddings.laserimport LaserEmbeddings

Instantiating Laser​

Parameters​

• lang: Optional[str]

  If empty will defaultto using a multilingual LASER encoder model (called "laser2").You can find the list of supported languages and lang_codeshereandhere.

# 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")

Related​

• Embedding modelconceptual guide
• Embedding modelhow-to guides