mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +00:00
17 lines
550 B
Python
17 lines
550 B
Python
|
from langchain.prompts import PromptTemplate
|
||
|
|
|
||
|
|
llm_context_prompt_template = """
|
||
|
|
Answer the user query using provided passages. Each passage has metadata given as
|
||
|
|
a nested JSON object you can also use. When answering, cite source name of the passages
|
||
|
|
you are answering from below the answer in a unique bullet point list.
|
||
|
|
|
||
|
|
If you don't know the answer, just say that you don't know, don't try to make up an answer.
|
||
|
|
|
||
|
|
----
|
||
|
|
{context}
|
||
|
|
----
|
||
|
|
Query: {query}
|
||
|
|
""" # noqa: E501
|
||
|
|
|
||
|
|
LLM_CONTEXT_PROMPT = PromptTemplate.from_template(llm_context_prompt_template)
|