Intersection¶
Intersection gathers retrieved documents from multiples retrievers and ranked documents from multiples rankers only if they are proposed by all models of the intersection pipeline.
Parameters¶
-
models (list)
List of models of the union.
Examples¶
>>> from pprint import pprint as print
>>> from cherche import retrieve
>>> documents = [
... {"id": 0, "town": "Paris", "country": "France", "continent": "Europe"},
... {"id": 1, "town": "Montreal", "country": "Canada", "continent": "North America"},
... {"id": 2, "town": "Madrid", "country": "Spain", "continent": "Europe"},
... ]
>>> search = (
... retrieve.TfIdf(key="id", on="town", documents=documents) &
... retrieve.TfIdf(key="id", on="country", documents=documents) &
... retrieve.Flash(key="id", on="continent")
... )
>>> search = search.add(documents)
>>> print(search("Paris"))
[]
>>> print(search(["Paris", "Europe"]))
[[], []]
>>> print(search(["Paris", "Europe", "Paris Madrid Europe France Spain"]))
[[],
[],
[{'id': 2, 'similarity': 4.25}, {'id': 0, 'similarity': 3.0999999999999996}]]
Methods¶
call
Call self as a function.
Parameters
- q (Union[List[List[Dict[str, str]]], List[Dict[str, str]]])
- batch_size (Optional[int]) – defaults to
None - k (Optional[int]) – defaults to
None - documents (Optional[List[Dict[str, str]]]) – defaults to
None - kwargs
add
Add new documents.
Parameters
- documents (list)
- kwargs