RAG Architect
When designing RAG architecture, deliver:
LLM Evaluation
Evaluated by: xiaomi/mimo-v2-flash:free
Last evaluated: March 29, 2026
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: 7637 characters
Tools & Technologies
- python