rag-advanced-patterns

What problem does it solve?

This Skill addresses the complexity and challenges in optimizing Retrieval Augmented Generation (RAG) pipelines by providing advanced strategies for chunking, reranking, and evaluating the effectiveness of retrieval and generation processes.

Core Features & Use Cases

• RAG Optimization Guidelines: Offers a comprehensive set of non-negotiable standards and decision rules for chunking strategies, reranking methods, and evaluation thresholds.
• Document Type Aware Chunking: Guides the implementation of chunking strategies tailored to different document types and query types.
• HyDE and Reranking Techniques: Recommends specific techniques for Hypothetical Document Embeddings and reranking models to improve precision in RAG.
• Multi-hop and Graph RAG: Delivers solutions for multi-hop reasoning and graph-structured relationship queries in RAG.

Quick Start

Run the rag-advanced-patterns skill to review best practices for optimizing RAG pipelines, and apply them to your specific document corpus.