Return Vectara documents most similar to query, along with scores.
similarity_search_with_score(
self,
query: str,
**kwargs: Any = {}
) -> List[Tuple[Document, float]]Returns: List of Documents most similar to the query and score for each.
| Name | Type | Description |
|---|---|---|
query* | str | Text to look up documents similar to. |
k* | unknown | Number of Documents to return. Defaults to 10. |
any other querying variable in VectaraQueryConfig like* | unknown | |
- lambda_val* | unknown | lexical match parameter for hybrid search. |
- filter* | unknown | filter string |
- score_threshold* | unknown | minimal score threshold for the result. |
- n_sentence_before* | unknown | number of sentences before the matching segment |
- n_sentence_after* | unknown | number of sentences after the matching segment |
- rerank_config* | unknown | optional configuration for Reranking (see RerankConfig dataclass) |
- summary_config* | unknown | optional configuration for summary (see SummaryConfig dataclass) |