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
- List of supported languages at https://github.com/facebookresearch/flores/blob/main/flores200/README.md#languages-in-flores-200
Dependenciesโ
To use LaserEmbed with LangChain, install the laser_encoders
Python package.
%pip install laser_encoders
Importsโ
from langchain_community.embeddings.laser import LaserEmbeddings
API Reference:
Instantiating Laserโ
Parametersโ
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")
Usageโ
Generating document embeddingsโ
document_embeddings = embeddings.embed_documents(
["This is a sentence", "This is some other sentence"]
)
Generating query embeddingsโ
query_embeddings = embeddings.embed_query("This is a query")