Install LangChain

To install LangChain, you can use pip or conda.

To install using pip, run the command pip install langchain
To install using conda, run the command conda install langchain -c conda-forge

It’s always recommended to check the latest version of LangChain at https://github.com/langchain-ai/langchain

Reminder: The community is evolving, and the library is adapting rapidly. The information presented here may change over time. This list serves as a reference for the current chapter being written.

pip list | grep langchain
langchain                                0.3.7
langchain-chroma                         0.1.4
langchain-community                      0.3.5
langchain-core                           0.3.15
langchain-experimental                   0.3.3
langchain-huggingface                    0.1.2
langchain-openai                         0.2.6
langchain-text-splitters                 0.3.2

Install the required Python packages associated with your chosen LLM providers

As we intend to utilize open-source language models from Hugging Face platform within LangChain, it is necessary to configure Hugging Face accordingly. Execute the following command:

pip install huggingface-hub

In my development environment, I use the following main libraries to work on models. By the way, I attach a requirements.txt at the end of this chapter for reference.

pip list | grep -i 'faiss\|huggingface\|langchain\|transformers\|openai\|qdrant\|tensor\|torch\|tokenizers\|tiktoken'

faiss-cpu                                1.9.0
huggingface-hub                          0.26.2
langchain                                0.3.7
langchain-chroma                         0.1.4
langchain-community                      0.3.5
langchain-core                           0.3.15
langchain-experimental                   0.3.3
langchain-huggingface                    0.1.2
langchain-openai                         0.2.6
langchain-qdrant                         0.2.0
langchain-text-splitters                 0.3.2
openai                                   1.54.3
qdrant-client                            1.12.1
safetensors                              0.4.5
sentence-transformers                    3.2.1
tiktoken                                 0.8.0
tokenizers                               0.20.3
torch                                    2.5.1
transformers                             4.46.2