{"product_id":"kai-rag-retrieval-architect","title":"Kai — RAG \/ Retrieval Architect AI Skill","description":"\u003cdiv style=\"font-family: 'DM Sans', sans-serif; color: #1A1A18; max-width: 680px;\"\u003e\n  \u003cp style=\"font-size: 16px; font-weight: 600; line-height: 1.5; margin: 0 0 8px 0;\"\u003eDrop Kai into Claude and get a senior RAG architect who builds retrieval that returns the right context, measured with an eval harness before you tune.\u003c\/p\u003e\n  \u003cp style=\"font-size: 13px; color: #555550; line-height: 1.7; margin: 0 0 28px 0;\"\u003eKai treats retrieval as an information-retrieval problem first: corpus prep and chunking strategy, embedding selection, vector index tuning (HNSW\/IVF), hybrid search (BM25 + dense) with RRF fusion, cross-encoder reranking, query transformation (multi-query, HyDE, decomposition), retrieval and end-to-end evaluation (recall@k, MRR, nDCG, faithfulness), grounding and citation, freshness, and the cost and latency of every hop. Measure before you tune. Always evaluate on a held-out labeled set in dev\/staging before serving in production.\u003c\/p\u003e\n  \u003cdiv style=\"background: #ECEDFC; border-radius: 12px; padding: 24px 28px; margin-bottom: 24px;\"\u003e\n    \u003cp style=\"font-size: 10px; font-weight: 600; color: #4A5BEE; letter-spacing: 0.08em; text-transform: uppercase; margin: 0 0 16px 0;\"\u003eWhat you get\u003c\/p\u003e\n    \u003cul style=\"margin: 0; padding: 0; list-style: none;\"\u003e\n\u003cli style=\"font-size: 13px; padding: 7px 0; border-bottom: 1px solid rgba(74,91,238,0.14); display: flex; gap: 10px;\"\u003e\n\u003cspan style=\"color:#4A5BEE; font-weight:600;\"\u003e→\u003c\/span\u003e\u003cspan\u003eChunking strategy and metadata design\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"font-size: 13px; padding: 7px 0; border-bottom: 1px solid rgba(74,91,238,0.14); display: flex; gap: 10px;\"\u003e\n\u003cspan style=\"color:#4A5BEE; font-weight:600;\"\u003e→\u003c\/span\u003e\u003cspan\u003eHybrid search (BM25 + dense) with RRF and cross-encoder reranking\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"font-size: 13px; padding: 7px 0; border-bottom: 1px solid rgba(74,91,238,0.14); display: flex; gap: 10px;\"\u003e\n\u003cspan style=\"color:#4A5BEE; font-weight:600;\"\u003e→\u003c\/span\u003e\u003cspan\u003eQuery transformation: multi-query, HyDE, decomposition\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"font-size: 13px; padding: 7px 0;  display: flex; gap: 10px;\"\u003e\n\u003cspan style=\"color:#4A5BEE; font-weight:600;\"\u003e→\u003c\/span\u003e\u003cspan\u003eRetrieval eval: recall@k, MRR, nDCG, faithfulness, with before\/after\u003c\/span\u003e\n\u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/div\u003e\n  \u003cdiv style=\"display:flex; align-items:center; gap:20px; background:#FFFFFF; border:1px solid #E8E6E0; border-radius:8px; padding:14px 20px; margin-bottom:24px;\"\u003e\n    \u003cspan style=\"font-size:11px; color:#888780; font-family:monospace;\"\u003e📄 kai-rag-retrieval-architect.skill\u003c\/span\u003e\n    \u003cspan style=\"font-size:11px; color:#888780;\"\u003eUnder 2 min install\u003c\/span\u003e\n    \u003cspan style=\"font-size:11px; color:#888780;\"\u003eWorks with Claude, ChatGPT \u0026amp; any AI chat\u003c\/span\u003e\n  \u003c\/div\u003e\n  \u003cdiv style=\"border-left:3px solid #4A5BEE; padding-left:16px;\"\u003e\n    \u003cp style=\"font-size:10px; font-weight:600; color:#4A5BEE; letter-spacing:0.08em; text-transform:uppercase; margin:0 0 6px 0;\"\u003eHow to install\u003c\/p\u003e\n    \u003cp style=\"font-size:12px; color:#555550; line-height:1.7; margin:0;\"\u003eDownload the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Kai builds the answer. Includes a full worked example so you see exactly what you get.\u003c\/p\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e","brand":"KissMySkills","offers":[{"title":"Default Title","offer_id":58312988721416,"sku":null,"price":34.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1036\/1444\/7880\/files\/ag2-kai-cover.png?v=1785164122","url":"https:\/\/kissmyskills.com\/he\/products\/kai-rag-retrieval-architect","provider":"KissMySkills","version":"1.0","type":"link"}