rag-pipeline-python

What problem does it solve?

This Skill automates the creation of Retrieval-Augmented Generation (RAG) pipelines, enabling you to build intelligent systems that can answer questions based on your own documents.

Core Features & Use Cases

• End-to-End Scaffolding: Guides you through document ingestion, chunking, embedding, indexing, retrieval, and generation.
• Flexible Configuration: Supports local models (Ollama, sentence-transformers) and cloud embeddings/LLMs.
• Evaluation Focused: Emphasizes measuring retrieval quality before generation tuning.
• Use Case: You have a large collection of internal company documentation and want to build a chatbot that can answer employee questions accurately by referencing these documents.

Quick Start

Use the rag-pipeline-python skill to scaffold a RAG pipeline using Ollama and local documents.