Individual skill

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.

skills/rag-architect/SKILL.md

Source commit 078a25cc5bfd8011459be7b91d004e900c1d02d3

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Last checked

Nov 9, 2026

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