local-rag-pipeline

What problem does it solve?

This Skill provides a complete, self-contained system for indexing and searching documents locally, eliminating the need for external APIs and cloud services.

Core Features & Use Cases

• Local RAG: Full RAG pipeline running on your machine.
• Document Indexing: Parse, chunk, embed, and index documents into a local vector database (ChromaDB).
• Semantic Search: Perform relevance-based searches on your indexed documents.
• Use Case: Index your project's internal documentation and then ask natural language questions to retrieve relevant information without uploading sensitive data.

Quick Start

Use the local rag pipeline skill to index the documents in the 'documents' folder into a new ChromaDB collection named 'my-project-docs'.