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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
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from haystack.nodes import PromptNode, PromptTemplate
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p = PromptNode("vblagoje/bart_lfqa")
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# Start by defining a question/query
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query = "Why does water heated to room temperature feel colder than the air around it?"
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# Given the question above, suppose the documents below were found in some document store
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documents = [
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"when the skin is completely wet. The body continuously loses water by...",
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"at greater pressures. There is an ambiguity, however, as to the meaning of the terms 'heating' and 'cooling'...",
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"are not in a relation of thermal equilibrium, heat will flow from the hotter to the colder, by whatever pathway...",
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"air condition and moving along a line of constant enthalpy toward a state of higher humidity. A simple example ...",
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"Thermal contact conductance. In physics, thermal contact conductance is the study of heat conduction between solid ...",
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]
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# Manually concatenate the question and support documents into BART input
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# conditioned_doc = "<P> " + " <P> ".join([d for d in documents])
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# query_and_docs = "question: {} context: {}".format(query, conditioned_doc)
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# Or use the PromptTemplate as shown here
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pt = PromptTemplate("lfqa", "question: {query} context: {join(documents, delimiter='<P>')}")
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res = p.prompt(prompt_template=pt, query=query, documents=[Document(d) for d in documents])
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print(res)
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