millitool
rag-architect/

rag-architect

Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating retrieval quality. Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, context augmentation, similarity search, or embedding-based indexing.

ragarchitectai
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---
name: rag-architect
description: Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating retrieval quality. Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, context augmentation, similarity search, or embedding-based indexing.
license: MIT
metadata:
  author: https://githu
How to Use

Recommended: Install to project (local)

mkdir -p .claude/skills
curl -o .claude/skills/rag-architect.md \
  https://raw.githubusercontent.com/Jeffallan/claude-skills/main/skills/rag-architect/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/Jeffallan/claude-skills

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

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