ailey-tools-tag-n-rag

What problem does it solve?

The Tag-n-RAG skill converts diverse content sources into searchable, chunked RAG sets stored in ChromaDB, automating content ingestion and semantic search across knowledge bases.

Core Features & Use Cases

• Retrieve content from files, folders, Git repos, and URLs
• Transcribe video/audio and perform OCR to extract text
• Intelligent chunking with paragraph and sentence boundaries
• Metadata tagging and replacement rules for tailored indexing
• Local ChromaDB storage with per-source collections for scalable knowledge
• Use case: build a searchable knowledge base from project docs, meeting notes, and manuals

Quick Start

Index content sources (files, folders, Git repos, and URLs) into tagged RAG sets stored in local ChromaDB.