ERNIE Embedding-V1 is a text representation model based onBaidu 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 usinglangchain_community.embeddings.ErnieEmbeddingsto uselangchain_community.embeddings.QianfanEmbeddingsEndpoint instead.

documentation forQianfanEmbeddingsEndpoint ishere.

they are 2 why we recommend users to useQianfanEmbeddingsEndpoint:

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.embeddingsimport QianfanEmbeddingsEndpoint

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

Usage​

from langchain_community.embeddingsimport ErnieEmbeddings

embeddings= ErnieEmbeddings()

query_result= embeddings.embed_query("foo")

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

Related​

• Embedding modelconceptual guide
• Embedding modelhow-to guides