rag-architect
Skillby alirezarezvani
Use when the user asks to design a RAG pipeline, choose a chunking strategy or embedding model, pick a vector database, or evaluate retrieval quality (precision@k, recall@k, NDCG). Examples: 'design a RAG system for our docs', 'what chunk size should I use for this corpus', 'evaluate my retriever against ground truth'. NOT for general LLM cost tuning (use llm-cost-optimizer) or agent loops over retrieval (use agenthub).
Details
- Path
- engineering/skills/rag-architect
- Bundled scripts
- 3
- Dependencies
- 1
Bundled scripts
- engineering/skills/rag-architect/retrieval_evaluator.py
- engineering/skills/rag-architect/chunking_optimizer.py
- engineering/skills/rag-architect/rag_pipeline_designer.py