Unverified50% confidenceFactExact time
Skriptr采用检索增强生成（RAG）架构，在生成回答前先从用户提供的文档中检索相关段落作为上下文
1
Sources
50%
Confidence
Long-term
Relevance
8/22/2026
First Seen
Sources
Related Claims
UnverifiedEdit mode employs a technique similar to RAG (Retrieval-Augmented Generation), building a semantic index of project files to automatically retrieve the most relevant code snippets for injection into the context.76% similarUnverifiedCopilot employs a RAG (Retrieval-Augmented Generation) architecture, which requires retrieving relevant context from users' emails, documents, calendars, and other Microsoft Graph data before generating a response.75% similarUnverifiedSkriptr会阅读用户上传的资料源，并为每个答案标注精确的出处页码69% similarUnverified将创作者自有的历史内容和内部笔记构建成私有知识库（即RAG检索增强生成技术），让模型优先从独特素材中提取信息，可解决AI生成内容同质化问题68% similarUnverifiedPerplexity uses Retrieval-Augmented Generation (RAG) technology, crawling web pages in real time when a user asks a question and injecting relevant passages into the LLM prompt to address the knowledge cutoff problem68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/785276API
curl https://kongchang.com/api/v1/knowledge/claims/785276MCP
get_claim(id=785276)