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Configuring "skills" in Gemini can mean two things: setting up your own Gems (custom agents) or providing technical documentation files so Gemini understands Orchard Core’s specific architecture. …
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这份文稿详细讲解了评估 AI RAG（检索增强生成）系统的五个核心指标，主要将评估分为了检索阶段和响应（生成）阶段。
以下是全文的核心内容总结：
一、 检索阶段评估指标（关注检索的内容好不好）
在这个阶段，主要评估检索器找出的“上下文”质量，核心看三个指标：
1. 上下文相关性 (Context Relevance)
比较对象：检索出的上下文 vs 用户输入的问题。
核心含义：看检索出来的文档 …
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这份文稿是上一部分内容的延续，主要从代码实战应用、综合评分标准以及系统优化策略三个维度，深入讲解了如何将 RAG 评估落地并在发现问题后进行调优。
以下是核心内容的详细总结：
一、 评估框架 (Ragas) 的实战应用
在实际代码中，使用 Ragas 框架进行评估通常遵循一套固定的“套路”：
准备数据：针对实际项目（如金融助手），通常只需要准备**“用户问题”和对应的“参考答案”。将问题输入给你 …
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Breathe Out The Day: Meditative Ambient Soundscape
🌿 The Intention
Designed specifically for the crucial transition between a high-stress workday and a peaceful evening, this soundscape serves as a …
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This looks like a comprehensive feature list for a highly advanced or potentially upcoming Google AI Premium or Developer tier. While some of these features are well-established (like NotebookLM and …
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Configuring your Conda environment in VS Code is a quick process, and using the built-in Python extension makes it incredibly seamless. Since your paths (/Users/joseph/...) indicate you are on macOS, …
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Managing Python environments on macOS can feel like playing a game of "Where's Waldo" with your packages. The short answer: Packages are installed into the specific environment tied to the pip …
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Based on the documentation provided, here is an overview of the CrestApps.AgentSkills project, its purpose, and how you can get started with its various foundations.
What is the project?
CrestApps. …
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Based on the project documentation, the system identifies each skill by parsing metadata embedded directly within the files or their directory structures. Here is exactly how it works:
1. YAML Front- …
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In the CrestApps Orchard Core project, the integration of Prompts and Resources via the Model Context Protocol (MCP) depends on whether Orchard Core is acting as the Client (consuming external …