Welcome to this repository showcasing a collection of projects built using LangChain, a powerful framework for developing applications powered by language models. Here, you'll find practical examples and demonstrations of various LangChain functionalities, designed to illustrate the potential of this cutting-edge technology.

What You'll Find Inside

This repository is structured to provide a comprehensive overview of LangChain's capabilities, from fundamental concepts to advanced applications. You'll discover:

• Core LangChain Concepts:
  • Demonstrations of essential LangChain components and models.
• Diverse Model Integrations:
  • Exploration of how to seamlessly integrate various language models (e.g., OpenAI, Anthropic, gemini, Hugging Face models) into your LangChain workflows.
  • Practical guidance on leveraging the strengths of different models for specific tasks.
• Real-World Applications:
  • Projects showcasing practical use cases, such as question answering, document summarization, and more.
  • Examples that demonstrate how to apply LangChain to solve real-world problems.

Getting Started

To explore the projects in this repository, follow these steps:

1. Clone the Repository:

   git clone [repository URL]
   cd langchain-models

2. Install Dependencies:

   pip install -r requirements.txt

3. API Keys:
   • Many of these projects require API keys from providers like OpenAI. Ensure you have the necessary API keys and configure them appropriately.
   • Please handle your API keys with care and do not commit them to your repository.

Key Technologies Used

• LangChain: A framework for developing applications powered by language models.
• VS code: An interactive environment for writing and executing code.
• Python: The primary programming language used in this repository.
• Various Language Models: Integrations with models from OpenAI, Hugging Face, and other providers.

Contributions

Feel free to contribute to this repository by submitting pull requests. Your contributions are welcome and appreciated.

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• Create a new venv

python -m venv venv

• activate venv

venv\Scripts\Activate

• install packages from requirements.txt

pip install -r requirements.txt

• run the code

python filename.py