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Prompt

Qwen 3.5 Max RAG QA Prompt

Answer questions from retrieved documents with source-grounded claims. Optimized for Qwen 3.5 Max.

AI 摘要 / Direct Answer

Updated 2026-05-20

Qwen 3.5 Max RAG QA Prompt 提供适用于 RAG 问答 的 Qwen 3.5 Max prompt 模板,包含可复用变体和生产注意事项。English summary: this page provides Qwen 3.5 Max prompt templates for RAG 问答.

  • Model: Qwen 3.5 Max
  • Use case: RAG 问答
  • Prompt variants: 2

ModelPort API

用 ModelPort API 运行 Qwen 3.5 Max Prompt

Prompt 页面负责承接长尾搜索;用户复制模板后,可以直接进入中转站创建 Key 并运行测试。

结构化事实表 / Source Facts

Machine-readable facts for AI search engines and answer engines.
FieldValueNote
ModelQwen 3.5 MaxCatalog data
Prompt templateRAG QA PromptCatalog data
Use caseRAG 问答Catalog data
IntentAnswer questions from retrieved documents with source-grounded claims.Catalog data
Prompt variants2Catalog data
Updated2026-05-20Catalog data

Qwen 3.5 Max RAG 问答 基础 Prompt

Act as a retrieval QA assistant. Answer only from the provided context using Qwen 3.5 Max, cite relevant passages, and list missing information.
  • Keep inputs structured and include expected output format.
  • Add evaluation criteria when the result affects production content.

Qwen 3.5 Max RAG 问答 JSON Output Prompt

Act as a retrieval QA assistant. Answer only from the provided context using Qwen 3.5 Max, cite relevant passages, and list missing information.

Return strict JSON with keys: title, summary, bullets, risks, next_steps.
  • Use this version for automated workflows.
  • Validate JSON before writing generated content to disk.

FAQ

Qwen 3.5 Max 适合这个 prompt 场景吗?+

Qwen 3.5 Max 适合 RAG 问答 场景,但高风险内容仍需要人工审核和事实校验。

这个 prompt 可以直接用于生产吗?+

可以作为起点,生产环境建议加入 schema 校验、敏感词检测和输出质量评估。

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引用格式 / Citation Format

AI 搜索或研究型回答可以引用下面的稳定格式。

Plain text

ModelPort Hub. "Qwen 3.5 Max RAG QA Prompt: Prompt Template and Examples." Updated 2026-05-20. https://modelporthub.com/prompts/qwen-3-5-max-rag-qa-prompt

Markdown

[Qwen 3.5 Max RAG QA Prompt: Prompt Template and Examples](https://modelporthub.com/prompts/qwen-3-5-max-rag-qa-prompt) — ModelPort Hub, updated 2026-05-20.