Load quantized BGE embedding models generated by Intel® Extension for Transformers (ITREX) and use ITREX Neural Engine, a high-performance NLP backend, to accelerate the inference of models without compromising accuracy.
from langchain_community.embeddings import QuantizedBgeEmbeddings
model_name = "Intel/bge-small-en-v1.5-sts-int8-static-inc"
encode_kwargs = {"normalize_embeddings": True}
model = QuantizedBgeEmbeddings(
model_name=model_name,
encode_kwargs=encode_kwargs,
query_instruction="Represent this sentence for searching relevant passages: ",
)
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