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LangChainHub-Prompts/QA_Refine

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. question: Original question to be answered. existing_answer: Existing answer from previous documents. 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. from… See the full description on the dataset page: https://huggingface.co/datasets/LangChainHub-Prompts/QA_Refine.

sourceHugging Faceupdated 4y agoView on Hugging Face
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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. 1.question: Original question to be answered.
  2. 2.existing_answer: Existing answer from previous documents.
  3. 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)