Import

ppaintingAbsences

ImportError: cannot import name 'LangchainEmbedding' from 'llama_index.core.base.embeddings'
Is this due to the way imports have been changed?
This is how I'm importing;

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py 
from llama_index.core.base.embeddings import LangchainEmbedding

Also tried

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py from llama_index.core.embeddings import LangchainEmbedding

But both/all seem to give same issue, so wondering if the LangchainEmbeddings got moved somewhere? I was looking at the doc and couldn't find it.

from llama_index.llms.langchain import LangChainLLM

Is this mainly used for OpenAI/GPT models rather than using anthropic? I noticed that anthropic has their own;
: from llama_index.llms.anthropic import Anthropic
Also has the standard been changed to use llama_index.core. (...) for versions of llama_index .11 and higher?

22 comments

LLogan M

Oh that's an old import

You need
pip install llama-index-embeddings-langchain

from llama_index.embeddings.langchain import LangChainEmbedding

LLogan M

This change happened in v0.10.x

LLogan M

I'm not sure what you mean by your second point tbh

We have llms and emebddings for nearly everything, I'd be surprised if you needed langchain actually

ppaintingAbsences

ah yeah so I'm using anthropic wasn't sure if the langchainLLM if that's it's own LLM? Basically if I wanted to use anthropic as the llm, I'd probably just use llama_index.llms.anthropic import Anthropic and get rid of the LangChainLLM? (Also part of it is because I'm integrating LangChain with llama-index (different uses).

ppaintingAbsences

For my purpose I wanted to utilize Langgraph, which I suppose wouldn't actually require langChain, and could be used independenly alongside llama-index?

ppaintingAbsences

Basically I was trying to wrap anthropic using the langChainLLM but I suppose that's not even necessary at all.

However, still facing this import issue suprisingly; I can always delete the env and redo the installs to test if that's the issue;

ImportError: cannot import name 'LangChainEmbedding' from 'llama_index.embeddings.langchain'

LLogan M

Did you run the pip install? If so, might need a fresh venv

ppaintingAbsences

I did run pip install, also I ran a fresh venv too

ppaintingAbsences

tho I'm using poetry for most of the package side of things

ppaintingAbsences

Basically doing >> Use conda >> Run venv (for poetry)

LLogan M

Are you in a notebook? You'll have to restart it if so

ppaintingAbsences

ah I'm not using a notebook

LLogan M

It seems to work for me 🤔

LLogan M

Updating from v0.9.x can be a little annoying. But normally a fresh venv solves it. Unless you have some global install outside a venv

ppaintingAbsences

Fair, tho I deleted everything from global install.

ppaintingAbsences

so everything should be isolated in side conda and venv, (conda only installs) poetry
langchain-huggingface
flake8
black

ppaintingAbsences

but otherwise poetry handles rest of installs

ppaintingAbsences

wonder if it's because it's not getting installed properly, maybe that's why. (nvm it isn't, poetry shows it's installed tho separately, not as part of llama-index).

command: poetry show llama-index-embeddings-langchain

name : llama-index-embeddings-langchain
version : 0.2.1
description : llama-index embeddings langchain integration

dependencies

llama-index-core >=0.11.0,<0.12.0

command: poetry show llama-index

name : llama-index
version : 0.11.6
description : Interface between LLMs and your data

dependencies

llama-index-agent-openai >=0.3.0,<0.4.0
llama-index-cli >=0.3.0,<0.4.0
llama-index-core >=0.11.6,<0.12.0
llama-index-embeddings-openai >=0.2.4,<0.3.0
llama-index-indices-managed-llama-cloud >=0.3.0
llama-index-legacy >=0.9.48,<0.10.0
llama-index-llms-openai >=0.2.2,<0.3.0
llama-index-multi-modal-llms-openai >=0.2.0,<0.3.0
llama-index-program-openai >=0.2.0,<0.3.0
llama-index-question-gen-openai >=0.2.0,<0.3.0
llama-index-readers-file >=0.2.0,<0.3.0
llama-index-readers-llama-parse >=0.3.0
nltk >3.8.1

ppaintingAbsences

ended up just getting rid of using the llama-embeddings for now, I think huggingfaceembeddings willwork for now for my test purposes.

LLogan M

that seems correct to me 😅 Just as a sanity check, langchain embeddings and huggingface embeddings both work on google colab
https://colab.research.google.com/drive/11Grso7t3h7oKQjE8TRsyQRolF1mah-o7?usp=sharing

I thiink I lead astray though, its from llama_index.embeddings.langchain import LangchainEmbedding

LLogan M

casing is hard

ppaintingAbsences

Awesome, will take a look. Thanks a lot Logan!

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Import

command: poetry show llama-index-embeddings-langchain

command: poetry show llama-index