FactWithEvidence

class langchain.chains.openai_functions.citation_fuzzy_match.FactWithEvidence

Bases: BaseModel

Class representing a single statement.

Each fact has a body and a list of sources. If there are multiple facts make sure to break them apart such that each one only uses a set of sources that are relevant to it.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

param fact: str [Required]

Body of the sentence, as part of a response

param substring_quote: List[str] [Required]

Each source should be a direct quote from the context, as a substring of the original content

get_spans(context: str) → Iterator[str]

Parameters:

context (str)

Return type:

Iterator[str]