LangChain Exercises Collection

This repository contains a collection of exercises demonstrating various concepts and models using LangChain. Each exercise showcases different features and capabilities of LangChain, such as text translation, prompt templates, and streaming responses.

Features

• Environment Setup: Load environment variables using dotenv.
• Language Model Usage: Utilize the ChatOpenAI model for text translation.
• Prompt Templates: Create and use prompt templates for structured input to the language model.
• Streaming: Stream responses from the language model.

Getting Started

1. Clone the repository:

   git clone https://github.com/deffstudio/langchain-exercises.git
   cd langchain-exercises

2. Install dependencies:

   pip install -r requirements.txt

3. Set up environment variables: Create a .env file in the root directory and add your API keys:

   OPEN_API_KEY=your_openai_api_key
   LANGCHAIN_API_KEY=your_langchain_api_key

4. Run the Jupyter Notebook:

   jupyter notebook 1.simple_llm_app.ipynb

Usage

• Follow the steps in the Jupyter Notebooks to learn how to use different language models and prompt templates.
• Modify the prompt templates and messages to customize the exercises for different use cases.

License

This project is licensed under the MIT License.