What common RAG mistakes does this skill help avoid?

It specifically addresses 'sharp edges' like mismatched embedding models, high-latency retrieval, and out-of-sync document embeddings.

How does this skill handle document chunking?

The skill prioritizes semantic and recursive character splitting over fixed-size chunking to ensure that context is preserved and meaning is not lost at the boundaries of a chunk.

Does this skill support hybrid search?

Yes, it includes implementation patterns for hybrid search, which combines dense vector retrieval with sparse keyword-based search to improve accuracy for both semantic and literal queries.

What is the primary benefit of the RAG Implementation skill?

It provides sophisticated patterns for Retrieval-Augmented Generation that go beyond basic vector search, ensuring your LLM receives the most relevant information through better chunking and reranking.

Advanced RAG Implementation

Name: Advanced RAG Implementation
Author: claudiodearaujo

byclaudiodearaujo

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Ciencia de Datos y ML

Implements high-performance Retrieval-Augmented Generation systems using sophisticated chunking, hybrid search, and reranking strategies.

Acerca de

This skill transforms Claude into an expert RAG architect capable of designing and implementing production-grade document retrieval systems. It moves beyond naive vector search by providing specialized patterns for semantic chunking, hybrid search (combining dense and sparse methods), and LLM-based contextual reranking. By focusing on the nuances of how data is indexed and retrieved, this skill ensures that your AI applications receive the most relevant context while avoiding common pitfalls like fixed-size chunking errors or embedding model mismatches.

Características Principales

Semantic and recursive document chunking
Embedding model synchronization and management
1 GitHub stars
Contextual reranking for retrieval precision
Vector store performance optimization
Hybrid search patterns (dense vector + sparse keyword)

Casos de Uso

Building high-accuracy document QA and knowledge base systems
Scaling vector search pipelines for massive document datasets
Implementing context-aware book narration and summarization tools

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro rag-implementation

For use in Claude.ai and ChatGPT

Download Skill

GitHub