Return Vectara documents most similar to query, along with scores.
Parameters
query – Text to look up documents similar to.
k – Number of Documents to return. Defaults to 5.
lambda_val – lexical match parameter for hybrid search.
filter – Dictionary of argument(s) to filter on metadata. For example a
filter can be “doc.rating > 3.0 and part.lang = ‘deu’”} see
https://docs.vectara.com/docs/search-apis/sql/filter-overview
for more details.
score_threshold – minimal score threshold for the result.
If defined, results with score less than this value will be
filtered out.
n_sentence_context – number of sentences before/after the matching segment
to add, defaults to 2
Returns
List of Documents most similar to the query and score for each.
Examples using Vectara¶
Vectara
Chat Over Documents with Vectara
Vectara Text Generation