https://github.com/vishal815/genrative-ai-langchain-models-build-and-explore-llm-powered-projects
This repository is a hands-on implementation of Generative AI: LangChain Models, Build, and Explore LLM-Models. It showcases the core fundamentals of LangChain, OpenAI/Gemini integrations, and Hugging Face models.
https://github.com/vishal815/genrative-ai-langchain-models-build-and-explore-llm-powered-projects
antrophic chatmodel dotenv embedding gemini genrative-ai genrativeai huggingface langchain langchain-python language-model llms openai vishal-lazrus vishallazrus
Last synced: 3 months ago
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This repository is a hands-on implementation of Generative AI: LangChain Models, Build, and Explore LLM-Models. It showcases the core fundamentals of LangChain, OpenAI/Gemini integrations, and Hugging Face models.
- Host: GitHub
- URL: https://github.com/vishal815/genrative-ai-langchain-models-build-and-explore-llm-powered-projects
- Owner: vishal815
- Created: 2025-06-29T10:37:33.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-06-29T11:00:12.000Z (3 months ago)
- Last Synced: 2025-06-29T11:35:07.991Z (3 months ago)
- Topics: antrophic, chatmodel, dotenv, embedding, gemini, genrative-ai, genrativeai, huggingface, langchain, langchain-python, language-model, llms, openai, vishal-lazrus, vishallazrus
- Language: Python
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# LangChain AI Apps: Build and Explore LLM-Powered Projects 🚀
This repository is a hands-on implementation of **Generative AI: LangChain Models, Build, and Explore LLM-Powered Projects**. It showcases the core fundamentals of LangChain, OpenAI/Gemini integrations, and Hugging Face models.
## 🎯 Project Description
This project serves as a foundation for building applications with **Large Language Models (LLMs)**
##
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## ⚙️ Setup Instructions
### 1. Clone the repository
```bash
git clone https://github.com/your-username/langchain-ai-apps.git
cd project_path
````
### 2. Create a virtual environment
```bash
python -m venv venv
source venv/bin/activate # Linux/Mac
venv\Scripts\activate # Windows
```
### 3. Install dependencies
```bash
pip install -r requirements.txt
```
### 4. Add your API keys
Create a `.env` file with your keys:
```bash
OPENAI_API_KEY=your_openai_key
ANTHROPIC_API_KEY=your_claude_key
GOOGLE_API_KEY=your_google_key
HUGGINGFACEHUB_API_TOKEN=your_huggingface_key
```
Or use `os.environ` in the notebooks.
Happy Learning😃 Vishal Lazrus.
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