Comments (2)
Hello π
A prototype is available for filtering by ranking score!
Getting the prototype
You need to start from a fresh new database (remove the previously used data.ms
) and use the following Docker image:
docker run -it --rm -p 7700:7700 -v $(pwd)/meili_data:/meili_data getmeili/meilisearch:prototype-score-threshold-0
Using the prototype
The prototype adds a new optional parameter to search requests: rankingScoreThreshold
.
The rankingScoreThreshold
if present must be a number in the [0.0, 1.0]
range.
During the search, any set of results whose _rankingScore
is below the rankingScoreThreshold
is discarded instead of returned. The corresponding documents are also removed from the facet distribution and donβt count towards the totalHits
and estimatedTotalHits
.
Warning
For performance reasons, the current implementation does not always return correct values for totalHits
and estimatedTotalHits
Explanation
When the `limit` number of results is reached, then the algorithm stops without computing the `_rankingScore` for the remaining, unreturned documents. As a result, Meilisearch cannot determine if the remaining documents meet the threshold or not. The current behavior is to keep the remaining documents in the set of possible candidates. This means that increasing `limit` or requesting the next page can result in a decrease in `totalHits` and `estimatedTotalHits` (as well as the number of pages). Fixing this limitation involves computing the results exhaustively, which is going to be very performance-intensive and difficult to achieve at all for vector sort.We're looking for feedback on this prototype, especially on the limitations stated above.
Caution
We do not recommend using this prototype in production. This is only for test purposes.
from meilisearch.
Closed by #4666, will be in rc1
from meilisearch.
Related Issues (20)
- v1.8.0 _geoRadius filter returns no results HOT 1
- A lot of SDK CIs fail
- Update version in Cargo.toml for v1.8.1 HOT 1
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- Slow Filtering when Indexes Contains many Documents
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- Windows tests routinely fail HOT 2
- Update mini-dashboard with the lastest release HOT 1
- Relevancy changes in rc0 - are they expected? HOT 7
- Update Open API file for v1.10.0 HOT 2
- v1.10.0 ROADMAP
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- After setting `distinct_attribute` values inside `facetStats` and `facetDistribution` become incorrect. HOT 4
- Use container's RAM limit set by deploy resources limit HOT 7
- Update version in Cargo.toml for v1.8.2
- Misleading error message when configuring the embedders HOT 1
- memory allocation of 41/47 bytes failed HOT 9
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from meilisearch.