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* delete asciidoc files
* add migrated files
* fix errors
* Disable docs tests
* Clarify release notes page titles
* Revert "Clarify release notes page titles"
This reverts commit 8be688648d
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* Comment out edternal URI images
* Clean up query languages landing pages, link to conceptual docs
* Add .md to url
* Fixes inference processor nesting.
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Co-authored-by: Liam Thompson <32779855+leemthompo@users.noreply.github.com>
Co-authored-by: Liam Thompson <leemthompo@gmail.com>
Co-authored-by: Martijn Laarman <Mpdreamz@gmail.com>
Co-authored-by: István Zoltán Szabó <szabosteve@gmail.com>
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Term-level queries [term-level-queries]
You can use term-level queries to find documents based on precise values in structured data. Examples of structured data include date ranges, IP addresses, prices, or product IDs.
Unlike full-text queries, term-level queries do not analyze search terms. Instead, term-level queries match the exact terms stored in a field.
::::{note}
Term-level queries still normalize search terms for keyword
fields with the normalizer
property. For more details, see normalizer
.
::::
Types of term-level queries [term-level-query-types]
exists
query- Returns documents that contain any indexed value for a field.
fuzzy
query- Returns documents that contain terms similar to the search term. {{es}} measures similarity, or fuzziness, using a Levenshtein edit distance.
ids
query- Returns documents based on their document IDs.
prefix
query- Returns documents that contain a specific prefix in a provided field.
range
query- Returns documents that contain terms within a provided range.
regexp
query- Returns documents that contain terms matching a regular expression.
term
query- Returns documents that contain an exact term in a provided field.
terms
query- Returns documents that contain one or more exact terms in a provided field.
terms_set
query- Returns documents that contain a minimum number of exact terms in a provided field. You can define the minimum number of matching terms using a field or script.
wildcard
query- Returns documents that contain terms matching a wildcard pattern.