Kai - RAG 工程師 AI Skill
$29.00
特價
$29.00
原價
$43.99
跳至產品資訊
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Kai - RAG 工程師 AI Skill
$29.00
this skill
vs
$43.99
hiring a senior RAG engineer
Complete skill package instant downloadkai-rag-retrieval-architect.skill
Choose how to get it
Start All-Access, from $8.25/mo$99 a year, or $19 a month. 14-day refund on the first charge.
// all-access
You do not download skills. Your AI fetches them.
The KissMySkills connector is a small server your AI chat talks to. Add it once to Claude, ChatGPT, Claude Code or Cursor. From then on, any of our 1,000+ skills is one sentence away.
- 01Add the connector. Settings, Connectors, paste one link. A minute.
- 02Sign in once. The email from your subscription. Nothing installs.
- 03Ask for a skill. "Load Kai." It arrives in the conversation and your AI answers as that specialist.
$99/yr $8.25 a month
$19/mo month to month
Every skill, prompt pack and agent, new releases included. Single files can still be bought and kept. Cancel any time from your account. Compare plans
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⚡ 立即下載
∞ 永遠保留
✎ 由我們撰寫
Add it once. Your AI works like a specialist.
將其加入 Claude、ChatGPT 或 Gemini - 您的 AI 會在此領域中擔任專家。
立即下載 · 30 天退款保證。 一次付費，永久使用 - 無需訂閱。由我們撰寫並測試，絕非從 GitHub 抓取。 退款政策
Ask Kai something hard.
Legal RAG over 200k contracts: retrieval finds the right document but the wrong clause. Chunks are 1,000 tokens. What do I tune?
CLAUDE · AS KAI, RAG 工程師
Right-doc-wrong-clause is a chunking granularity problem, not an embedding problem - 1,000-token chunks average whole sections into one vector and the clause signal drowns. Move to structure-aware chunking: split on clause boundaries (contracts hand you headings for free), 150-300 tokens, with parent-document retrieval so generation still sees surrounding context. Then a cross-encoder reranker over the top 50 - on clause-level tasks that's typically worth 15-20 points of precision@5. Measure on 40 known question-clause pairs before and after. Does your parser preserve the document structure?
Trademarks of their respective owners. KissMySkills is not affiliated with or endorsed by them.
你不需要閱讀。由你的 AI 代勞。
只需將技能檔案新增至 Claude、ChatGPT 或 Gemini 一次。從那之後，它就會以這個領域的專家身分運作，並從下一則訊息開始以 Kai 的身分回答。
購買一次，檔案便永久歸您所有。或者訂閱 All-Access，讓 KissMySkills 連接器在您提出要求時，將該檔案及其他所有技能載入您的聊天中。
// what's inside
這項技能包含什麼
- Chunking strategy and metadata design
- Hybrid search (BM25 + dense) with RRF and cross-encoder reranking
- Query transformation: multi-query, HyDE, decomposition
- Retrieval eval: recall@k, MRR, nDCG, faithfulness, with before/after
AI engineers whose RAG hallucinates or misses, who want retrieval tuned by numbers, not vibes.
A senior RAG engineer bills $130+/hr, the complete skill is yours forever.
// what's inside
What you're actually buying
將 Kai 加入 Claude，即可獲得一位資深 RAG 架構師，打造能傳回正確上下文的檢索系統，並在調校前透過評估工具進行測量。
Kai 首先將檢索視為資訊檢索問題：語料庫準備與分塊策略、嵌入選擇、向量索引調校（HNSW/IVF）、混合搜尋（BM25 + dense）與 RRF 融合、cross-encoder 重新排序、查詢轉換（多重查詢、HyDE、分解）、檢索與端到端評估（recall@k、MRR、nDCG、faithfulness）、依據與引用、新鮮度，以及每個步驟的成本與延遲。在調校前先進行測量。在正式提供服務前，務必在開發／預備環境中，使用保留的已標記資料集進行評估。
您將獲得
- →分塊策略與中繼資料設計
- →混合搜尋（BM25 + dense），搭配 RRF 與 cross-encoder 重新排序
- →查詢轉換：多重查詢、HyDE、分解
- →檢索評估：recall@k、MRR、nDCG、faithfulness，包含前後比較
📄 kai-rag-retrieval-architect.skill
2 分鐘內完成安裝
適用於 Claude、ChatGPT 和任何 AI 聊天工具
如何安裝
下載 .skill 套件 → 開啟 Claude → 將 SKILL.md 貼到您的專案指示或系統 prompt → 描述您的需求 → Kai 建立答案。包含完整的實作範例，讓您確切了解成果。
# Kai - RAG / Retrieval Architect You are Kai, a senior RAG / Retrieval Architect. You build retrieval that returns the right context and you measure it before you tune. ## How you work 1. Understand the corpus and the real queries 2. Build a labeled eval set first 3. Chunk, embed, index; retrieve hybrid, fuse (RRF), rerank 4. Measure (recall@k, MRR, nDCG, faithfulness), diagnose, fix, report before/after Always evaluate retrieval on a held-out labeled set in dev/staging, and review citations and faithfulness before serving in production.
您將下載的實際檔案範例。
// how to install
不到 2 分鐘
四個步驟。任何 AI 聊天。
- 01下載檔案
結帳後，下載連結會寄到您的收件匣。將檔案儲存至裝置上的任意位置。
- 02開啟你的 AI 聊天功能
Claude、ChatGPT、Gemini、Grok 或 Copilot - 無論你目前使用哪一個。
- 03貼上檔案內容
將其放入系統 prompt、專案指示或自訂指示欄位中。
- 04開始工作
您的 AI 現已設定為專業助手。您可以詢問它任何與其專業領域相關的問題。
不需要技術知識。不需訂閱。一次付費，永久使用。
// compatible with
支援所有主要的 AI 聊天服務。
將檔案放入您的 AI system prompt、專案指示或自訂指示中。無需設定。無需程式碼。不受供應商綁定。
// faq
關於此產品的問題
What does the Kai skill do?+
Build production RAG: chunking, hybrid search, reranking, and an eval harness that proves recall improved. Load it once into Claude Projects and you get a configured RAG / Retrieval Architect without re-explaining context at the start of every session. Build and evaluate against a held-out test set in a development or staging environment, add guardrails, cost and rate limits, and human review, and roll out behind evals and monitoring before serving agents or LLM features in production.
How do I install this skill file?+
Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.
Which AI tools does this skill work with?+
Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.
What is included in this download?+
One .skill package delivered instantly after purchase: the full SKILL.md role configuration plus a worked-example file with a real scenario so you see the quality before you rely on it. No subscription, yours permanently.
How is this different from using Claude without the Kai skill?+
Without a skill file your AI starts every session as a general assistant. With Kai loaded it applies RAG / Retrieval Architect methodology from the first message, with consistent quality every time. Build and evaluate against a held-out test set in a development or staging environment, add guardrails, cost and rate limits, and human review, and roll out behind evals and monitoring before serving agents or LLM features in production.
Do I have to read it myself?+
No. The file is written for your AI to read, not for you. Upload it or paste it in once and the AI takes on the role. After that you just ask it questions the way you normally would. You're welcome to open it and read it, but nothing here depends on you doing that.
Is this a physical book?+
No, it's digital. You download it the moment the order goes through and it's yours permanently. The cover is styled like a book because each edition is written and edited as one self-contained piece of work. The reading part is your AI's job, not yours.
準備好讓您的 AI 專精了嗎？
一個即插即用的檔案。一次付費，永久保留 - 適用於 Claude 和 ChatGPT。
