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Format Templates (#12396)
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@@ -1,13 +1,15 @@
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from langchain.chat_models import ChatOpenAI
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from langchain.schema.output_parser import StrOutputParser
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from langchain.schema.runnable import RunnablePassthrough, RunnableMap
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from langchain.embeddings import HuggingFaceEmbeddings
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from langchain.vectorstores.elasticsearch import ElasticsearchStore
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from langchain.schema import format_document
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from typing import Tuple, List
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from operator import itemgetter
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from .prompts import CONDENSE_QUESTION_PROMPT, LLM_CONTEXT_PROMPT, DOCUMENT_PROMPT
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from typing import List, Tuple
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from langchain.chat_models import ChatOpenAI
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from langchain.embeddings import HuggingFaceEmbeddings
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from langchain.schema import format_document
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from langchain.schema.output_parser import StrOutputParser
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from langchain.schema.runnable import RunnableMap, RunnablePassthrough
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from langchain.vectorstores.elasticsearch import ElasticsearchStore
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from .connection import es_connection_details
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from .prompts import CONDENSE_QUESTION_PROMPT, DOCUMENT_PROMPT, LLM_CONTEXT_PROMPT
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# Setup connecting to Elasticsearch
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vectorstore = ElasticsearchStore(
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@@ -6,7 +6,7 @@ condense_question_prompt_template = """Given the following conversation and a fo
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Chat History:
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{chat_history}
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Follow Up Input: {question}
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"""
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""" # noqa: E501
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CONDENSE_QUESTION_PROMPT = PromptTemplate.from_template(
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condense_question_prompt_template
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)
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@@ -23,7 +23,7 @@ If you don't know the answer, just say that you don't know, don't try to make up
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{context}
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----
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Question: {question}
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"""
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""" # noqa: E501
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LLM_CONTEXT_PROMPT = ChatPromptTemplate.from_template(llm_context_prompt_template)
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