This repository demonstrates how to build and experiment with Large Language Models (LLMs) and Chat Models from multiple AI providers — including OpenAI, Gemini (Google), Claude (Anthropic), and Hugging Face — using the LangChain framework.
LangChain makes it easier to connect different LLM providers through a unified API.
This project brings together multiple models to help you:
- Compare performance across different LLMs
- Build cross-model pipelines for creative AI tasks
- Prototype intelligent agents and chat systems
- OpenAI — GPT models (e.g. GPT-4, GPT-3.5)
- Gemini — Google’s generative AI models
- Claude — Anthropic’s conversational models
- Hugging Face — open-source transformer models
Clone this repository:
git clone https://github.com/AyushAI/Genreative-Ai-Using-LangChain.git
cd Genreative-Ai-Using-LangChainCreate and activate a virtual environment:
python -m venv venv
venv\Scripts\activate # On Windows
Install the required dependencies:
pip install -r requirements.txt