Create RAG App

Scaffold a production-ready RAG (Retrieval Augmented Generation) application in seconds.

Features

• 🚀 Next.js & React: Modern frontend with Tailwind setup.
• 🦜 LangChain: Best-in-class RAG pipeline.
• 🗄️ ChromaDB: Built-in local vector database.
• 🤖 Multi-LLM Support: Switch between OpenAI, Groq, and Ollama.
• 📄 Document Ingestion: Simple script to index PDFs and Text files.

Usage

# Run directly with npx
npx create-rag-app my-ai-project

# Or install globally
npm install -g create-rag-app
create-rag-app my-ai-project

Structure Result

The created app will have:

• src/app: User Interface (Chat)
• src/lib: RAG Utilities
• scripts/ingest.js: Document processor
• documents/: Folder to drop your knowledge base

Development

# Clone the repo
git clone https://github.com/your-username/create-rag-app.git

# Install dependencies
npm install

# Test locally
npm link
create-rag-app test-project

License

MIT