CODEWITHSUNDEEP
pythongoogle-colaboratoryembeddinglangchainllama-index
Lorenzo Cutrupi
Lorenzo Cutrupi

Reputation: 720

cannot import name 'LangchainEmbedding' from 'llama_index'

I'm trying to build a simple RAG, and I'm stuck at this code:

from langchain.embeddings.huggingface import HuggingFaceEmbeddings
from llama_index import LangchainEmbedding, ServiceContext

embed_model = LangchainEmbedding(
  HuggingFaceEmbeddings(model_name="thenlper/gte-large")
)
service_context = ServiceContext.from_defaults(
    chunk_size=256,
    llm=llm,
    embed_model=embed_model
)
index = VectorStoreIndex.from_documents(documents, service_context=service_context)

where I get ImportError: cannot import name 'LangchainEmbedding' from 'llama_index' How can I solve? Is it related to the fact that I'm working on Colab?

Upvotes: 3

Views: 18925

Answers (7)

muhammed navas
muhammed navas

Reputation: 1

Resolution for the ImportError: 'LangchainEmbedding' from 'llama_index'

If you’re encountering the error:

ImportError: cannot import name 'LangchainEmbedding' from 'llama_index'

This issue occurs because the import path for LangchainEmbedding has been updated in recent versions of llama_index. To resolve this, update your import statements to use the correct module path. Correct Import:

Instead of:

from llama_index import LangchainEmbedding

Use:

from llama_index.embeddings.langchain import LangchainEmbedding

This new import path reflects the updated structure of the llama_index library.

Upvotes: 0

furas
furas

Reputation: 142983

INFO 2024:

This answer worked in 2023 when question was asked
but it seems they moved all code and now you have to use other answers.

Not

from llama_index import LangchainEmbedding

but

from llama_index.embeddings import LangchainEmbedding

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

Upvotes: 10

Mann Bajpai
Mann Bajpai

Reputation: 1

There is an update install langchain embedding separately

!pip install llama-index-embeddings-langchain

Then

from llama_index.embeddings.langchain import LangchainEmbedding

This worked for me check this for more ....

Upvotes: 0

dixhom
dixhom

Reputation: 3035

The other answers didn't work for me while the one below did.

from llama_index.legacy.embeddings.langchain import LangchainEmbedding

Upvotes: 9

Prashant Khairnar
Prashant Khairnar

Reputation: 21

With reference to above code. This is working exactly.

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

embed_model = HuggingFaceEmbeddings(
  model_name="thenlper/gte-large"
)

Upvotes: 2

scouts_code_by_nature
scouts_code_by_nature

Reputation: 21

For a problem with

from llama_index import LangchainEmbedding

or

from llama_index.embedings import LangchainEmbedding

It looks like the syntax has been updated yet again, see:

https://github.com/run-llama/llama_index/blob/main/llama_index/embeddings/__init__.py

As of 2023 Dec 7th, it says:

from llama_index.embeddings.langchain import LangchainEmbedding

Today that works...tomorrow...a brave new world.

Upvotes: 2

user23012302
user23012302

Reputation: 31

Now this is the right Answer, LangchainEmbedding replace with HuggingFaceEmbeddings. Now its working.

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"
)

Upvotes: 3

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