quivr/backend/llm/prompts/CONDENSE_PROMPT.py

from langchain.prompts.prompt import PromptTemplate

_template = """Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question, in its original language. include it in the standalone question.

Chat History:
{chat_history}
Follow Up Input: {question}
Standalone question:"""
CONDENSE_QUESTION_PROMPT = PromptTemplate.from_template(_template)
feat(chat): improved chain 2023-06-17 02:16:11 +03:00			`from langchain.prompts.prompt import PromptTemplate`

			`_template = """Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question, in its original language. include it in the standalone question.`

			`Chat History:`
			`{chat_history}`
			`Follow Up Input: {question}`
			`Standalone question:"""`
feat(chat): use openai function for answer (#354) * feat(chat): use openai function for answer (backend) * feat(chat): use openai function for answer (frontend) * chore: refacto BrainPicking * feat: update chat creation logic * feat: simplify chat system logic * feat: set default method to gpt-3.5-turbo-0613 * feat: use user own openai key * feat(chat): slightly improve prompts * feat: add global error interceptor * feat: remove unused endpoints * docs: update chat system doc * chore(linter): add unused import remove config * feat: improve dx * feat: improve OpenAiFunctionBasedAnswerGenerator prompt 2023-06-22 18:50:06 +03:00			`CONDENSE_QUESTION_PROMPT = PromptTemplate.from_template(_template)`