# rag-architect

> Claude/Codex skill by [@Jeffallan](https://omgskills.com/library/jeffallan/index.md) · 12k stars · Updated 2026-10-28

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.

Tags: ai-agents, claude, claude-code, claude-marketplace, claude-skills

## Install

```sh
git clone https://github.com/Jeffallan/claude-skills /tmp/claude-skills && ln -s /tmp/claude-skills/skills/rag-architect ~/.claude/skills/rag-architect
```

## From README

RAG Architect Core Workflow Requirements Analysis — Identify retrieval needs, latency constraints, accuracy requirements, and scale Vector Store Design — Select database, schema design, indexing strategy, sharding approach Chunking Strategy — Document splitting, overlap, semantic boundaries, metadata enrichment Retrieval Pipeline — Embedding selection, query transformation, hybrid search, reranking Evaluation & Iteration — Metrics tracking, retrieval debugging, continuous optimization For each step, validate before moving on (see checkpoints below).

## Links

- HTML page: https://omgskills.com/library/jeffallan/claude-skills/skills/rag-architect/
- GitHub: https://github.com/Jeffallan/claude-skills
- Author: [@Jeffallan](https://omgskills.com/library/jeffallan/index.md)

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