This project focuses on building and experimenting with applications based on Large Language Models (LLMs) using the LangChain framework. It offers a modular and extensible architecture along with several fully implemented examples to help users quickly understand and leverage LLM capabilities in various scenarios.

• Modular and well-organized source code under the src/ directory
• Ready-to-run example projects in the examples/ folder for fast learning and prototyping
• Sample data included under the data/ directory for testing and training
• Unit and integration tests located in the tests/ directory for code quality assurance
• Packaged as a Python library with easy installation via setup.py
• Dependency management through requirements.txt

Install the package and its dependencies with:

pip install .

Editable Installation (for Development) For active development, install the package in editable mode:

pip install -e .

This creates a symbolic link to your source code directory, allowing you to make changes to the code that are immediately reflected without reinstalling the package. This setup is ideal for developers who want to rapidly iterate and test their changes.

Run example scripts directly to explore implemented use cases. For example:

python examples/Few_Shot_Example/test.py