mirror of
https://github.com/deepset-ai/haystack.git
synced 2025-10-31 09:49:48 +00:00
3fefc475b4
* Deprecate Seq2SeqGenerator * changed the warning to include suggestion * Added example and msg to API reference docs * Added RAG deprecation * renamed name to adapt to naming conven * update docstrings --------- Co-authored-by: Mayank Jobanputra <mayankjobanputra@gmail.com> Co-authored-by: Darja Fokina <daria.f93@gmail.com>
29 lines
1.4 KiB
Python
29 lines
1.4 KiB
Python
from haystack import Document
|
|
from haystack.nodes import PromptNode, PromptTemplate
|
|
|
|
p = PromptNode("vblagoje/bart_lfqa")
|
|
|
|
# Start by defining a question/query
|
|
query = "Why does water heated to room temperature feel colder than the air around it?"
|
|
|
|
# Given the question above, suppose the documents below were found in some document store
|
|
documents = [
|
|
"when the skin is completely wet. The body continuously loses water by...",
|
|
"at greater pressures. There is an ambiguity, however, as to the meaning of the terms 'heating' and 'cooling'...",
|
|
"are not in a relation of thermal equilibrium, heat will flow from the hotter to the colder, by whatever pathway...",
|
|
"air condition and moving along a line of constant enthalpy toward a state of higher humidity. A simple example ...",
|
|
"Thermal contact conductance. In physics, thermal contact conductance is the study of heat conduction between solid ...",
|
|
]
|
|
|
|
|
|
# Manually concatenate the question and support documents into BART input
|
|
# conditioned_doc = "<P> " + " <P> ".join([d for d in documents])
|
|
# query_and_docs = "question: {} context: {}".format(query, conditioned_doc)
|
|
|
|
# Or use the PromptTemplate as shown here
|
|
pt = PromptTemplate("lfqa", "question: {query} context: {join(documents, delimiter='<P>')}")
|
|
|
|
res = p.prompt(prompt_template=pt, query=query, documents=[Document(d) for d in documents])
|
|
|
|
print(res)
|