微信扫码
添加专属顾问
我要投稿
不同子方面数量的子集实验,RichRAG框架在所有子集上都优于所有基线,框架在多样化搜索场景中的鲁棒性
Your task is to adjust the results of query-facets mining. The query-facets are extensions of theoriginal query in various generic perspectives, rather than some specific facts. Given a query thatrequires information from multiple query-facets, you should return all query-facets of the queryto fully answer it query. Note that each query has at least two query-facets. I will give you thelong-form answer to the original query to help you explore query-facets based on the perspectivesof its answer. But refrain from using the additional information from the answer to generate thequery-facets. Then you should segment the original long-form answer into several sub-answersthat each are paired with a query-facet. Please return each query-facet of the original query and itscorresponding sub-answers. The query-facets and sub-answers should be one-to-one and returnedin JSON format. You need to follow the following rules:1. The answers are only used to help you determine the generic direction. You mustn’t generatequery-facets based on the contents of answers and the facets mustn’t contain the answers’additional information beyond the input query.2. Sub-answers are constructed by segmenting the original answer, you cannot generate or reorderthe original answer to create sub-answers.3. The sub-answers should be complete. You must ensure that when the sub-answers are joinedtogether in order, the complete original answer should be formed.4. The generated query-facets should be sufficiently generic and contain no specific informationabout the sub-answers.5. **You should ensure that generated query-facets cover all perspectives original answer.**6. **You should ensure that all sub-answers cover all contents of the original answer.**7. **The number of query surfaces must range from 2 to 7.**8. **You should ensure that each query-facet is sufficiently generic and can be easily derived fromthe original query.**9. **You should ensure each query-facet contains no information from the answer.**10. **You should rewrite or combine the query-facets to be more generic if some query-facets donot meet the above requirements.**11. The returned results should be in JSON format and contain the following key: results, whichis a list of JSON data. Each item of results should contain the following keys: query-facet, andsub-answer.12. I will give you some demonstrations, you should learn the pattern of them to mine query-facetsand split sub-answers.**Demonstration**{demonstrations}Query: {query}Answer: {answer}Results:
对于RAG整个框架的更多技术,PaperAgent团队RAG专栏进行过详细的归纳总结:高级RAG之36技(术)。
高级RAG之36技试看私信获取:RAG专栏 RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generationhttps://arxiv.org/pdf/2406.12566
53AI,企业落地大模型首选服务商
产品:场景落地咨询+大模型应用平台+行业解决方案
承诺:免费POC验证,效果达标后再合作。零风险落地应用大模型,已交付160+中大型企业
2025-09-12
Meta如何给RAG做Context Engineering,让模型上下文增加16倍
2025-09-12
检索器江湖:那些让RAG神功大成的武林绝学
2025-09-12
Dify + Oracle + MCP:轻松构建 RAG 与 MCP Agent 智能应用
2025-09-11
做好 RAG 落地最后环节 —— 评估 RAG 应用
2025-09-10
企业级RAG系统实战心得:来自10多个项目的深度总结
2025-09-10
您应该为您的 RAG 系统使用哪种分块技术?
2025-09-10
关于多模态应用的几个疑问,以及多模态应该怎么应用于RAG?
2025-09-10
MiniMax RAG 技术:从推理、记忆到多模态的演进与优化
2025-06-20
2025-06-20
2025-07-15
2025-06-24
2025-06-24
2025-07-16
2025-06-23
2025-07-09
2025-06-15
2025-06-20
2025-09-10
2025-09-10
2025-09-03
2025-08-28
2025-08-25
2025-08-20
2025-08-11
2025-08-05