rag-architecture

What problem does it solve?

This Skill provides a comprehensive guide to designing and implementing effective Retrieval-Augmented Generation (RAG) pipelines, ensuring accurate and grounded AI responses.

Core Features & Use Cases

• Pipeline Design: Offers strategies for document chunking, embedding, vector store selection, and retrieval methods.
• Implementation Guidance: Provides code examples and best practices for each stage of the RAG process.
• Use Case: When building a customer support chatbot that needs to answer questions based on a large knowledge base of product documentation, this Skill helps design the optimal RAG architecture to retrieve relevant information and generate accurate answers.

Quick Start

Use the rag-architecture skill to design a RAG pipeline for technical documentation.