millitool
data-ai/

rag-implementation

RAG (Retrieval-Augmented Generation) implementation workflow covering embedding selection, vector database setup, chunking strategies, and retrieval optimization.

rag
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---
name: rag-implementation
description: "RAG (Retrieval-Augmented Generation) implementation workflow covering embedding selection, vector database setup, chunking strategies, and retrieval optimization."
category: granular-workflow-bundle
risk: safe
source: personal
date_added: "2026-02-27"
---

# RAG Implementation Workflow

## Overview

Specialized workflow for implementing RAG (Retrieval-Augmented Generation) systems including embedding model selection, vector database setup, chunking stra
How to Use

Recommended: Install to project (local)

mkdir -p .claude/skills
curl -o .claude/skills/rag-implementation.md \
  https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/rag-implementation/SKILL.md

Skill is scoped to this project only. Add .claude/skills/ to your .gitignoreif you don't want to commit it.

Alternative: Clone full repo

git clone https://github.com/sickn33/antigravity-awesome-skills

Then reference at skills/rag-implementation/SKILL.md

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