LangChainHub-Prompts/QA_Refine

---
tags:
- langchain
- prompt
---

# Description of QA Refine

Prompts designed to be used to refine original answers during question answering chains using the refine method.

## Inputs

This is a description of the inputs that the prompt expects.

1. question: Original question to be answered.
2. existing_answer: Existing answer from previous documents.
3. context_str: New piece of context to use to refine the existing answer.

## Usage

Below is a code snippet for how to use the prompt.

```python
from langchain.prompts import load_prompt
from langchain.chains.question_answering import load_qa_chain

llm = ...
prompt = load_prompt('lc://prompts/qa/refine/<file-name>')
chain = load_qa_chain(llm, chain_type="refine", refine_prompt=prompt)
```

原始信息汇总

数据集概述

数据集名称

QA Refine

数据集标签

• langchain
• prompt

数据集描述

用于在问题回答链中使用refine方法精炼原始答案的提示设计。

输入参数

1. question: 原始问题。
2. existing_answer: 来自先前文档的现有答案。
3. context_str: 用于精炼现有答案的新上下文信息。

使用示例

python from langchain.prompts import load_prompt from langchain.chains.question_answering import load_qa_chain

llm = ... prompt = load_prompt(lc://prompts/qa/refine/<file-name>) chain = load_qa_chain(llm, chain_type="refine", refine_prompt=prompt)