LangChain Learning

Description

LangChain Learning is a project aimed at familiarizing users with the LangChain language learning platform through a series of guided tutorials and exercises. The project provides a hands-on approach to understanding the features and functionalities of LangChain, enabling users to maximize their learning experience.

Installation

To get started with LangChain Learning, follow these steps:

• Clone the GitHub repository to your local machine:

  git clone https://github.com/langchain-learning/langchain-learning.git
  

• Install dependencies using pip:

  pip install -r requirements.txt
  

Use

• Create the vector database

  Use this for FAISS CPU: 
  vectorDb.createFromFilesByFAISS(dataPath = dataPath, vectorDBPath = vectorDBPath)
  
  Use this for ChromaDB with GPU
  vectorDb.createFromFilesByChroma(dataPath = dataPath, vectorDBPath = vectorDBPath)
  

  python /app/VectorDB.py
  

• Create the chromadb with multiple processing:

  python /app/ChrombaDB.py
  

• Run the model:

  python /app/AppChain.py
  

Contributing

LangChain Learning is an open-source project, and contributions are welcome. Please fork the repository, make your changes, and submit a pull request.