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ERNIE Embedding-V1 is a text representation model based on Baidu Wenxin large-scale model technology, which converts text into a vector form represented by numerical values, and is used in text retrieval, information recommendation, knowledge mining and other scenarios. Deprecated Warning We recommend users using langchain_community.embeddings.ErnieEmbeddings to use langchain_community.embeddings.QianfanEmbeddingsEndpoint instead. You can find documentation for QianfanEmbeddingsEndpoint in the Baidu Qianfan endpoint integration. they are 2 why we recommend users to use QianfanEmbeddingsEndpoint:
  1. QianfanEmbeddingsEndpoint support more embedding model in the Qianfan platform.
  2. ErnieEmbeddings is lack of maintenance and deprecated.
Some tips for migration: 
from langchain_community.embeddings import QianfanEmbeddingsEndpoint

embeddings = QianfanEmbeddingsEndpoint(
    qianfan_ak="your qianfan ak",
    qianfan_sk="your qianfan sk",
)

​
Usage

from langchain_community.embeddings import ErnieEmbeddings

embeddings = ErnieEmbeddings()

query_result = embeddings.embed_query("foo")

doc_results = embeddings.embed_documents(["foo"])
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