Specialized queries on INFINI Pizza

Distance feature

Mon, 01 Jan 0001 00:00:00 +0000

Distance feature query #

Recalls every document and scores each by its proximity to an origin — the closer, the higher:

score = boost × pivot / (pivot + distance(document, origin))

A document exactly at the origin scores boost; one pivot units away scores boost / 2. The decay is gradual — unlike a range filter, a document three pivots out still scores boost / 4, so nothing is excluded, only demoted. It answers “rank by recency or by distance” without a second index or a script.

More like this query

Mon, 01 Jan 0001 00:00:00 +0000

More like this query #

more_like_this finds documents similar to given text or documents. The engine extracts the input’s terms, keeps the significant ones, and runs the resulting top terms as a disjunctive query — a “find more of this” query without any embedding model.

fields is required and limited to text fields.

How it works #

The query is rewritten at the search entry point — it is a client of the analysis and term pipeline, not an index structure. Per field: gather the like text (free text is analyzed with the first field’s analyzer; a referenced document contributes the text of every query field), tokenize it, drop terms below min_term_freq, outside the word-length bounds, or listed in stop_words, and remove every term the unlike inputs produced. The surviving terms from all fields are pooled, ranked by source term frequency (ties broken alphabetically for determinism), and the top max_query_terms become a bool.should of term queries governed by minimum_should_match. If nothing survives, the query matches nothing. When include is false (the default) and the like input named documents, their ids are added as a must_not — the seed documents trivially contain every selected term.

Scripted queries

Mon, 01 Jan 0001 00:00:00 +0000

Scripted queries #

Scripts in the search request: script_score to compute the score, a script predicate in a boolean filter, and a _script sort key. All run on Pizza’s sandboxed script engine (see the script language reference) — Rhai, not Painless, but the doc['x'].value, _score, params.<name> spellings run unmodified.

`script_score` — score by script #

Wrap a query; the script’s value replaces the score. The script sees _score (the wrapped query’s BM25 score), doc (the hit’s _source in doc-values shape) and params:

Specialized queries on INFINI Pizza

Distance feature

Distance feature query #

More like this query

More like this query #

How it works #

Scripted queries

Scripted queries #

script_score — score by script #

`script_score` — score by script #