I am trying to use LangChain embeddings, using the following code in Google colab: These are the installations: pip install pypdf pip install -q transformers einops accelerate langchain bitsandbytes pip install install sentence_transformers pip3 install llama-index --upgrade pip install llama-index-llms-huggingface huggingface-cli login pip install -U llama-index-core llama-index-llms-openai llama-index-embeddings-openai Then I ran this code in the google colab: from llama_index.core import VectorStoreIndex,SimpleDirectoryReader,ServiceContext from llama_index.llms.huggingface import HuggingFaceLLM from llama_index.core.prompts.prompts import SimpleInputPrompt # Reading pdf documents=SimpleDirectoryReader("/content/sample_data/Data").load_data() #Prompt query_wrapper_prompt=SimpleInputPrompt("<|USER|>{query_str}<|ASSISTANT|>") import torch llm = HuggingFaceLLM( context_window=4096, max_new_tokens=256, generate_kwargs={"temperature": 0.0, "do_sample": False}, system_prompt=system_prompt, query_wrapper_prompt=query_wrapper_prompt, tokenizer_name="meta-llama/Llama-2-7b-chat-hf", model_name="meta-llama/Llama-2-7b-chat-hf", device_map="auto", # uncomment this if using CUDA to reduce memory usage model_kwargs={"torch_dtype": torch.float16 , "load_in_8bit":True} ) # Embeddings from langchain.embeddings.huggingface import HuggingFaceEmbeddings from llama_index.core import ServiceContext from llama_index.embeddings.langchain import LangchainEmbedding embed_model=LangchainEmbedding( HuggingFaceEmbeddings(model_name="sentence-transformers/all-mpnet-base-v2")) Then I got this error: ModuleNotFoundError: No module named 'llama_index.embeddings.langchain' I am using latest version of llama-index Version: 0.10.26 Can someone suggest, how to resolve this error. Continue reading...