ERNIE

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.

documentation for QianfanEmbeddingsEndpoint is here.

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",
)

API Reference:QianfanEmbeddingsEndpoint

Usage

from langchain_community.embeddings import ErnieEmbeddings

API Reference:ErnieEmbeddings

embeddings = ErnieEmbeddings()

query_result = embeddings.embed_query("foo")

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

Related

• Embedding model conceptual guide
• Embedding model how-to guides