一文梳理有效提升RAG效果的方法

Decompose the "Content" into clear and simple propositions, ensuring they are interpretable out of context.
1. Split compound sentences into simple sentences. Maintain the original phrasing from the input whenever possible.2. For any named entity that is accompanied by additional descriptive information, separate this information into its own distinct proposition.3. Decontextualize the proposition by adding necessary modifiers to nouns or entire sentences and replacing pronouns (e.g., "it", "he", "she", "they", "this", "that") with the full name of the entities they refer to.4. Present the results as a list of strings, formatted in JSON.
**Input:**
Title: Ìostre. Section: Theories and interpretations, Connection to Easter Hares. 
Content: The earliest evidence for the Easter Hare (Osterhase) was recorded in south-west Germany in 1678 by the professor of medicine Georg Franck von Franckenau, but it remained unknown in other parts of Germany until the 18th century. Scholar Richard Sermon writes that "hares were frequently seen in gardens in spring, and thus may have served as a convenient explanation for the origin of the colored eggs hidden there for children. Alternatively, there is a European tradition that hares laid eggs, since a hare’s scratch or form and a lapwing’s nest look very similar, and both occur on grassland and are first seen in the spring. In the nineteenth century the influence of Easter cards, toys, and books was to make the Easter Hare/Rabbit popular throughout Europe. German immigrants then exported the custom to Britain and America where it evolved into the Easter Bunny."
**Output:**
["The earliest evidence for the Easter Hare was recorded in south-west Germany in 1678 by Georg Franck von Franckenau.","Georg Franck von Franckenau was a professor of medicine.","The evidence for the Easter Hare remained unknown in other parts of Germany until the 18th century.","Richard Sermon was a scholar.","Richard Sermon writes a hypothesis about the possible explanation for the connection between hares and the tradition during Easter.","Hares were frequently seen in gardens in spring.","Hares may have served as a convenient explanation for the origin of the colored eggs hidden in gardens for children.","There is a European tradition that hares laid eggs.","A hare’s scratch or form and a lapwing’s nest look very similar.","Both hares and lapwing’s nests occur on grassland and are first seen in the spring.","In the nineteenth century the influence of Easter cards, toys, and books was to make the Easter Hare/Rabbit popular throughout Europe.","German immigrants exported the custom of the Easter Hare/Rabbit to Britain and America.","The custom of the Easter Hare/Rabbit evolved into the Easter Bunny in Britain and America."]
---
**Input:**<an new passage>
**Output:**

将“内容”分解成清晰简洁的命题，确保它们在上下文之外也能理解。
1. 将复合句拆分为简单句。尽可能保持输入的原始措辞。2. 对于任何伴随有额外描述信息的命名实体，将这些信息分离成独立的命题。3. 通过为名词或整句添加必要的修饰词，并用完整的实体名称替换代词（例如“它”、“他”、“她”、“他们”、“这个”、“那个”）来使命题脱离上下文。4. 以JSON格式将结果呈现为字符串列表。
**输入:**
标题: Ìostre. 部分: 理论和解释，与复活节兔子的联系。
内容: 关于复活节兔子（Osterhase）的最早证据是在1678年由医学教授Georg Franck von Franckenau在德国西南部记录的，但在18世纪之前在德国其他地区仍然不为人知。学者Richard Sermon写道：“兔子经常在春天的花园中出现，因此可能是对为孩子们藏在那里的彩蛋起源的一个方便解释。或者，有一种欧洲传统认为兔子下蛋，因为兔子的抓痕或形态和大鸻的巢非常相似，而且两者都出现在草地上，并在春天首次出现。19世纪，复活节卡片、玩具和书籍的影响使复活节兔子在整个欧洲流行起来。然后，德国移民将这种习俗传播到英国和美国，并在英国和美国演变成复活节兔子。”
**输出:**
["关于复活节兔子的最早证据是在1678年由Georg Franck von Franckenau在德国西南部记录的。","Georg Franck von Franckenau是一位医学教授。","在18世纪之前，复活节兔子的证据在德国其他地区仍然不为人知。","Richard Sermon是一位学者。","Richard Sermon写了一个关于兔子与复活节传统之间可能联系的假设。","兔子经常在春天的花园中出现。","兔子可能是对为孩子们藏在花园里的彩蛋起源的一个方便解释。","有一种欧洲传统认为兔子下蛋。","兔子的抓痕或形态和大鸻的巢非常相似。","兔子和大鸻的巢都出现在草地上，并在春天首次出现。","19世纪，复活节卡片、玩具和书籍的影响使复活节兔子在整个欧洲流行起来。","德国移民将复活节兔子的习俗传播到英国和美国。","复活节兔子的习俗在英国和美国演变成复活节兔子。"]
---
**输入:**\<新段落\>
**输出:**

你是一名乐于助人的助手，负责生成与输入问题相关的多个子问题。目标是将输入问题分解为一组可以单独回答的子问题。生成与以下问题相关的多个搜索查询：{question} 输出（3个查询）：

You are a helpful assistant that generates multiple sub-questions related to an input question. The goal is to break down the input into a set of sub-problems / sub-questions that can be answers in isolation. Generate multiple search queries related to: {question} Output (3 queries):