rag-architect
byjeffallan· 67 skills
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.
How to install rag-architect?
jeffallan/claude-skills/rag-architect
$npx -y skills add jeffallan/claude-skills --skill rag-architectInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/jeffallan/claude-skills" --skill "jeffallan/claude-skills/rag-architect"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/jeffallan/claude-skills" that are relevant to the current task. Run `npx skills add "https://github.com/jeffallan/claude-skills"` and select the relevant skills, then follow their instructions.
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