agent-Specialization/data/conversations/conv_20251010_213857_814.json
2025-11-14 16:44:12 +08:00

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{
"id": "conv_20251010_213857_814",
"title": "rag全称是什么",
"created_at": "2025-10-10T21:38:57.814950",
"updated_at": "2025-10-10T22:03:34.424046",
"messages": [
{
"role": "user",
"content": "rag全称是什么",
"timestamp": "2025-10-10T21:39:05.734088"
},
{
"role": "assistant",
"content": "RAG 的全称是 **Retrieval-Augmented Generation**,中文常译为“检索增强生成”。\n\n它是一种结合信息检索Retrieval与文本生成Generation的技术广泛应用于大语言模型LLM系统中尤其是在需要引用外部知识库或实时数据的场景下。RAG 的核心思想是:在生成答案前,先从外部文档或数据库中检索相关信息,再将这些信息作为上下文输入给语言模型,从而生成更准确、更可靠的回答。",
"timestamp": "2025-10-10T21:39:08.143795"
}
],
"metadata": {
"project_path": "/Users/jojo/Desktop/agents/正在修复中/agent_kimi_源码备份_标记有bug版本/project",
"thinking_mode": true,
"total_messages": 2,
"total_tools": 0,
"status": "active"
},
"token_statistics": {
"total_input_tokens": 8821,
"total_output_tokens": 163,
"updated_at": "2025-10-10T22:03:34.424077"
}
}