[Solved] Cannot import name 'LangchainEmbedding' from 'llama_index'

Developing Machine Learning or NLP based projects or applications, sometimes dependencies and library interactions lead to frustrating errors. This "Cannot import name 'LangchainEmbedding' from 'llama_index'" error is one of them. This error indicates that the module 'llama_index' does not have an entity named 'LangchainEmbedding'. We could face this error for various reasons. One of the reasons is that the version of 'lama_index' you're using might not have the 'LangchainEmbedding' class. Another reason for facing this error could be the import path might be incorrect or have typos or the library might not be installed correctly.

Solution 1:

Not

from llama_index import LangchainEmbedding

but

from llama_index.embeddings import LangchainEmbedding

(See source code for llama_index/embeddings/__ init__.py)

Solution 2:

This will work too.

from llama_index.legacy.embeddings.langchain import LangchainEmbedding

Solution 3:

 LangchainEmbedding is replaced with HuggingFaceEmbeddings.

from langchain.embeddings import HuggingFaceEmbeddings
from llama_index import ServiceContext, set_global_service_context

embed_model = HuggingFaceEmbeddings(
    model_name="sentence-transformers/all-mpnet-base-v2"
)

By following the above steps, you can encounter this import error 'Cannot import name 'LangchainEmbedding' from 'llama_index'' properly. Facing this kind of import error is quite frustrating. we can resolve this type of error effectively by ensuring version compatibility, verifying the correct import paths, and reinstalling the library if necessary. We should always refer to the official documentation for the most accurate and up-to-date information.

Thank you for reading the article.