Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

avoid repetition #3342

Merged
merged 1 commit into from
Aug 28, 2024
Merged

avoid repetition #3342

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions en/tutorials/hybrid-search.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -851,7 +851,7 @@ The `relevance` is the score assigned by `hybrid` rank-profile. Notice that the
useful for debugging and understanding the ranking behavior, also for feature logging.

#### Hybrid query with AND operator
The following combines the two top-k operators using AND, meaning that the retrieved documents must match both the sparse and dense top-k operators.
The following combines the two top-k operators using AND, meaning that the retrieved documents must match both the sparse and dense top-k operators:

<div class="pre-parent">
<button class="d-icon d-duplicate pre-copy-button" onclick="copyPreContent(this)"></button>
Expand All @@ -865,7 +865,7 @@ $ vespa query \
'ranking=hybrid'
</pre>
</div>
This means that the retrieved documents must match both the sparse and dense representations. For the sparse keyword query matching, the `weakAnd` operator is used by default
For the sparse keyword query matching, the `weakAnd` operator is used by default
and it requires that at least one term in the query matches the document (fieldset searched).

#### Hybrid query with rank query operator
Expand Down