RAG Architect

[Documentation](https://jeffallan.github.io/claude-skills/skills/data-ml/rag-architect/)

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LLM Evaluation

Evaluated by: xiaomi/mimo-v2-flash:free

Last evaluated: May 17, 2026

Prompt Quality

3.0 /5

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Usefulness

3.0 /5

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Overall Rating

3.0 /5

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Prompt Preview

---
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...

Full prompt length: 7727 characters

Tools & Technologies

• python