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 ret...
About this skill
name: rag-architect description: Use when Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating ret...
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. — One of 66 full-stack developer skills in Jeff Allan's claude-skills plugin (MIT, 9.4k stars).
What you get
- Public GitHub repo (Jeffallan/claude-skills)
- the skills/rag-architect folder with SKILL.md and references. Install via /plugin install fullstack-dev-skills@jeffallan.
Customize your output
- Fork the repo and extend the skill's reference files for your own stack conventions.
Example output
Activates on a matching request (e.g. building or reviewing Rag Architect code) and can chain with other skills in the pack.
Best for
Full-stack developers and engineering teams using Claude Code.
SKILL.md preview
---
name: rag-architect
description: Use when Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating ret...
---
# Rag Architect
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