create-rag-app 0.1.2

A command-line tool to generate modern RAG applications with various components.

🚀 create-rag-app

A CLI tool that lets you generate production-ready RAG (Retrieval-Augmented Generation) applications in seconds.

⚙️ Choose your stack. 📦 Get a complete Dockerized project. 🧠 Power your app with your data + LLMs.

🌟 Why create-rag-app?

Building RAG apps is complex—you need to juggle LLMs, embeddings, chunking, retrieval, APIs, and more. With create-rag-app, all of this becomes plug-and-play:

✅ Standardized architecture
✅ Developer-first CLI
✅ Open-source & extensible

Whether you're building an AI chatbot over your docs or a powerful knowledge assistant, this CLI sets you up with a solid, scalable foundation.

🔧 What It Will Do

You run:

npx create-rag-app

And answer a few questions:

• LLM Provider? (OpenAI, Claude, Local)
• Vector DB? (Qdrant)
• Frontend? (None, Streamlit, Next.js)
• Document Loader? (Local, Web, Notion, YouTube)
• Chunking Strategy? (Fixed, Recursive, Metadata-aware)
• Embedding Model? (OpenAI, HuggingFace, Local)
• RAG Framework? (LangChain, LlamaIndex, None)
• Prompt Type? (Basic, Conversational, Agentic)
• Auth? (None, JWT, Basic)
• Extras? (Monitoring, Eval Setup, Dataset preload)

💥 Boom. Your RAG app scaffold is ready inside a Docker container.

📁 Example Output Structure

my-rag-app/
├── backend/
│   ├── api/
│   ├── loaders/
│   ├── retriever/
│   ├── llm/
│   └── main.py
├── frontend/ (optional)
│   └── pages/
├── data/
├── .env.template
├── docker-compose.yml
└── README.md

🚧 Features To Be Implemented

Here's what's on the roadmap for the first MVP:

✅ Core CLI

• Interactive CLI with inquirer
• Dynamic template scaffolding
• Backend stack choices (FastAPI, Express)

🧠 RAG Configuration

• LLM selection (OpenAI, Anthropic, local models)
• Embedder selection (OpenAI, BGE, Cohere, etc.)
• Vector DB support (Qdrant)
• Data loader types (PDF, YouTube, Notion, Web)

🧱 Frontend (optional)

• Streamlit or Next.js integration
• Basic chat UI with source highlighting

🧪 Extras

• Prompt customization options
• Eval flow scaffold (Precision@K, feedback loop)
• Monitoring/logging (basic + OpenTelemetry)
• Auth layer (JWT / basic auth)

🐳 DevOps

• Dockerized full-stack output
• Git auto-init and install
• .env templating and secrets handling

🤝 Contributing

Got an idea? Want to add a new integration (e.g., Qdrant or Supabase)? We'd love to have you onboard.

git clone https://github.com/yourname/create-rag-app
cd create-rag-app
npm install
npm link
create-rag-app

🛠 Tech Stack (Planned)

• CLI: Node.js + TypeScript
• CLI UI: Inquirer.js, Chalk
• Templates: EJS-based folders
• Backend: FastAPI (Python) or Express (Node)
• Frontend: Next.js or Streamlit
• DevOps: Docker, Docker Compose