Utilities
Neum Search Result
Data interface for Neum Search
The NeumVector
is the object used to organize data extracted for a given data source. It is analogous to similar constructs (i.e. Document
) used in frameworks like Langchain and LlamaIndex.
The goal of this interface is to abstract three properties:
id
(str): This is a unique identifier for a given vector. The id is constructed throughout the pre-processing of the data and used as the vector id within the vector database. It is used at synchronization to ensure vectors are not being re-computed and duplicated.score
(float): This score is represents the similarity score calculated between the query and the retrieved value.metadata
(dict): This value contains the attached metadata for a retrieved vector. This can include values extracted from the data source or loader, as well as any calculated values. Metadata includes thecontent
from theNeumDocument
.
Usage
NeumSearchResult
from neumai.Shared.NeumSearchResult import NeumSearchResult
neum_search_result = NeumSearchResult(
id = "abc",
score = 0.8421,
metadata = {'text':'Hello', 'createdDate':'2023-01-01'}
)
Was this page helpful?