FastEmbedEmbeddings()Name of the FastEmbedding model to use Defaults to "BAAI/bge-small-en-v1.5" Find the list of supported models at https://qdrant.github.io/fastembed/examples/Supported_Models/
List of ONNX execution providers. Use ["CUDAExecutionProvider"] to enable the
use of GPU when generating embeddings. This requires to install fastembed-gpu
instead of fastembed. See https://qdrant.github.io/fastembed/examples/FastEmbed_GPU
for more details.
Defaults to None.
Qdrant FastEmbedding models.
FastEmbed is a lightweight, fast, Python library built for embedding generation. See more documentation at:
To use this class, you must install the fastembed Python package.
pip install fastembed
Example:
from langchain_community.embeddings import FastEmbedEmbeddings
fastembed = FastEmbedEmbeddings()