rag-scaffold

What problem does it solve?

This Skill provides ready-to-use templates and scaffolding to bootstrap production-grade RAG pipelines, enabling teams to start coding faster and avoid boilerplate drift.

Core Features & Use Cases

• Framework templates: Python + LangChain, Python + LlamaIndex, Python + Vanilla, TypeScript + LangChain.js, and Ailog API templates to cover common stacks.
• Vector store templates: Quick-starts for Qdrant, Pinecone, ChromaDB, Weaviate, Milvus to adapt to your storage choice.
• RAG project bootstrapping: Generate a complete project structure with config, indexing, vector storage integration, and a ready-to-run pipeline.
• Use Case: Imagine starting a new documentation search RAG service; this skill provides a production-ready scaffold with best practices.

Quick Start

After installation, invoke /rag-scaffold in your Claude Code session. The skill will prompt you for your framework, vector store, and LLM provider, then generate a ready-to-run scaffold you can immediately customize.