Skills
.Work. You
Rest

rag-learning

Community

Build and master RAG applications.

Software Engineering#langchain#llm#rag#vector database#knowledge base#retrieval
AuthorLannieYoo
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill demystifies Retrieval-Augmented Generation (RAG) by providing a structured learning path and practical examples to build and optimize RAG systems from scratch.

Core Features & Use Cases

  • Learn RAG components: Understand loaders, splitters, embeddings, vector stores, and retrievers.
  • Build RAG applications: Step-by-step guides for creating RAG from minimal setups to production-ready systems.
  • Optimize retrieval: Implement techniques like hybrid search, reranking, and query transformation.
  • Use Case: You're a developer tasked with building a Q&A system over your company's internal documentation. This Skill will guide you through selecting the right tools, implementing the RAG pipeline, and tuning it for accuracy.

Quick Start

Follow the learning path starting with Level 1 to build a minimal RAG application using LangChain and Chroma.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: rag-learning
Download link: https://github.com/LannieYoo/gangwon-business-portal/archive/main.zip#rag-learning

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
View Source Repository

Agent Skills Search Helper

Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.