Commit Graph

962 Commits

Author SHA1 Message Date
ManyTheFish
9991152bbe
Add TODOs 2023-12-14 16:08:42 +01:00
Louis Dureuil
806e5b6899
Tests pass 2023-12-14 16:08:41 +01:00
Louis Dureuil
e0cc775dc4
Various changes
- DistributionShift in Search object (to be set from model in embed?)
- Fix issue where embedder index wasn't computed at search time
- Accept as default embedder either the "default" one, or the only embedder when there is only one
2023-12-14 16:08:41 +01:00
Louis Dureuil
922a640188
WIP multi embedders
fixed template bugs
2023-12-14 16:08:41 +01:00
Louis Dureuil
d4715e0c4d
Fix same vector sort bug 2023-12-14 16:08:41 +01:00
Louis Dureuil
11e2a2c1aa
Fix geosort bug 2023-12-14 16:08:41 +01:00
Louis Dureuil
65e49b7092
Remove stuff, add distribution shift (WIP) 2023-12-14 16:08:38 +01:00
Louis Dureuil
cb4ebe163e
WIP 2023-12-14 16:07:49 +01:00
Louis Dureuil
dde3a04679
WIP arroy integration 2023-12-14 16:07:49 +01:00
Louis Dureuil
13c2c6c16b
Small commit to add hybrid search and autoembedding 2023-12-14 16:07:48 +01:00
Clément Renault
56571f762a
Merge remote-tracking branch 'origin/main' into tmp-release-v1.5.1 2023-12-13 11:57:01 +01:00
ManyTheFish
467b49153d Implement proximityPrecision setting on milli side 2023-12-06 15:49:02 +01:00
ManyTheFish
bddc168d83 List TODOs 2023-12-06 14:59:23 +01:00
ManyTheFish
3b3fa38f27 Put the restrict list in a sub-struct 2023-11-28 18:37:57 +01:00
ManyTheFish
d6c2ee15a9 Filter on attributes before computing the docids when attribute restriction is on 2023-11-28 14:55:29 +01:00
Clément Renault
d32eb11329
Move to the v0.20.0-alpha.9 of heed 2023-11-27 11:52:22 +01:00
Clément Renault
58dac8af42
Remove the panics and unwraps 2023-11-23 15:00:48 +01:00
Clément Renault
0dbf1a16ff
Make clippy happy 2023-11-23 14:11:38 +01:00
Clément Renault
0d4482625a
Make the changes to use heed v0.20-alpha.6 2023-11-23 11:43:58 +01:00
Clément Renault
7cb7e37ba8
Merge branch 'main' into tmp-release-v1.5.0 2023-11-21 16:30:46 +01:00
ManyTheFish
1f36410541 Update tests 2023-11-13 13:36:39 +01:00
Louis Dureuil
8c649d8061
Throw error when the vector search is sent with the wrong size 2023-11-13 09:57:42 +01:00
ManyTheFish
688266c83e Remove word pair proximity prefix cache and compute it at search time 2023-11-08 14:16:01 +01:00
Louis Dureuil
1bccf2079e
Correctly mark non-tests as non-tests 2023-11-06 11:03:56 +01:00
ManyTheFish
94206b0055 Update tests 2023-10-31 13:48:47 +01:00
Louis Dureuil
113527f466
Remove soft-deleted related methods from Index 2023-10-30 11:41:22 +01:00
ManyTheFish
1c5705c164
clean PR warnings 2023-10-30 11:22:05 +01:00
ManyTheFish
df9e5c8651
Generalize usage of CboRoaringBitmap codec to ease the use 2023-10-30 11:15:02 +01:00
ManyTheFish
17b647dfe5
Wip 2023-10-30 11:13:08 +01:00
Tamo
e7244aa485 fix warnings 2023-10-30 11:00:46 +01:00
Louis Dureuil
2bae9550c8
Add explanatory comment 2023-10-23 12:06:28 +02:00
Vivek Kumar
5fe7c4545a
compute all candidates correctly when skipping 2023-10-23 12:02:45 +02:00
meili-bors[bot]
5e0485d8dd
Merge #4131
4131: Reduce proximity range from 7 to 3 r=Kerollmops a=ManyTheFish

## Summary
This PR aims to reduce the impact of the proximity databases on the indexing time and on the database size by reducing the maximum distance between two words to be indexed in the proximity database.

## Stats

### Impact on database size and indexing time
![Impact on datasets](https://github.com/meilisearch/meilisearch/assets/6482087/28ed3d96-bdde-41c1-bdac-e90c1b1dbb23)

### Impact on search relevancy

<details>

| dataset_name | host_name        | Relevancy rate (Precision) | completion_rate  25.00% | completion_rate 50.00% | completion_rate 75.00% | completion_rate 100.00% |
|--------------|------------------|------------------------------------|-----------------|-----------------|-----------------|-----------------|
| FBIS         | 1_4_0            | percentile-10 |           0.00% |           0.00% |           0.00% |           0.00% |
| FBIS         | 1_4_0            | percentile-25 |           0.00% |           0.00% |           0.00% |           0.00% |
| FBIS         | 1_4_0            | percentile-50 |           0.00% |           0.00% |           5.00% |           5.56% |
| FBIS         | 1_4_0            | percentile-75 |           0.00% |          12.50% |          35.00% |          45.00% |
| FBIS         | 1_4_0            | percentile-90 |          20.00% |          40.00% |                 |         100.00% |
| FBIS         | 1_4_0            | average       |           5.78% |          11.16% |          21.90% |          26.29% |
| FBIS         | reduce_proximity | percentile-10 |           0.00% |           0.00% |           0.00% |           0.00% |
| FBIS         | reduce_proximity | percentile-25 |           0.00% |           0.00% |           0.00% |           0.00% |
| FBIS         | reduce_proximity | percentile-50 |           0.00% |           0.00% |           5.00% |           5.56% |
| FBIS         | reduce_proximity | percentile-75 |           0.00% |          15.00% |          35.00% |          40.00% |
| FBIS         | reduce_proximity | percentile-90 |          20.00% |          40.00% |          85.00% |         100.00% |
| FBIS         | reduce_proximity | average       |           5.55% |          11.34% |          21.75% |          26.14% |
| FR94         | 1_4_0            | percentile-10 |           0.00% |           0.00% |           0.00% |           0.00% |
| FR94         | 1_4_0            | percentile-25 |           0.00% |           0.00% |           0.00% |           0.00% |
| FR94         | 1_4_0            | percentile-50 |           0.00% |           0.00% |           0.00% |           0.00% |
| FR94         | 1_4_0            | percentile-75 |           0.00% |           5.00% |          15.00% |          42.11% |
| FR94         | 1_4_0            | percentile-90 |          15.00% |          54.55% |         100.00% |         100.00% |
| FR94         | 1_4_0            | average       |           5.95% |          12.07% |          18.70% |          25.57% |
| FR94         | reduce_proximity | percentile-10 |           0.00% |           0.00% |           0.00% |           0.00% |
| FR94         | reduce_proximity | percentile-25 |           0.00% |           0.00% |           0.00% |           0.00% |
| FR94         | reduce_proximity | percentile-50 |           0.00% |           0.00% |           0.00% |           0.00% |
| FR94         | reduce_proximity | percentile-75 |           0.00% |           5.00% |          15.00% |          42.11% |
| FR94         | reduce_proximity | percentile-90 |          15.00% |          54.55% |         100.00% |         100.00% |
| FR94         | reduce_proximity | average       |           5.79% |          12.00% |          18.70% |          25.53% |
| FT           | 1_4_0            | percentile-10 |           0.00% |           0.00% |           0.00% |           0.00% |
| FT           | 1_4_0            | percentile-25 |           0.00% |           0.00% |           0.00% |           0.00% |
| FT           | 1_4_0            | percentile-50 |           0.00% |           0.00% |           5.00% |          10.00% |
| FT           | 1_4_0            | percentile-75 |           0.00% |          15.00% |          30.00% |          40.00% |
| FT           | 1_4_0            | percentile-90 |          20.00% |          50.00% |          65.00% |         100.00% |
| FT           | 1_4_0            | average       |           5.08% |          12.58% |          20.00% |          25.49% |
| FT           | reduce_proximity | percentile-10 |           0.00% |           0.00% |           0.00% |           0.00% |
| FT           | reduce_proximity | percentile-25 |           0.00% |           0.00% |           0.00% |           0.00% |
| FT           | reduce_proximity | percentile-50 |           0.00% |           0.00% |           5.00% |          10.00% |
| FT           | reduce_proximity | percentile-75 |           0.00% |          15.00% |          30.00% |          40.00% |
| FT           | reduce_proximity | percentile-90 |          10.00% |          45.00% |          60.00% |         100.00% |
| FT           | reduce_proximity | average       |           5.01% |          12.64% |          20.10% |          25.53% |
| LAT          | 1_4_0            | percentile-10 |           0.00% |           0.00% |           0.00% |           0.00% |
| LAT          | 1_4_0            | percentile-25 |           0.00% |           0.00% |           0.00% |           0.00% |
| LAT          | 1_4_0            | percentile-50 |           0.00% |           0.00% |           5.00% |           5.00% |
| LAT          | 1_4_0            | percentile-75 |           5.00% |          15.00% |          30.00% |          30.00% |
| LAT          | 1_4_0            | percentile-90 |          15.00% |          45.00% |          60.00% |          80.00% |
| LAT          | 1_4_0            | average       |           4.80% |          11.80% |          17.88% |          21.62% |
| LAT          | reduce_proximity | percentile-10 |           0.00% |           0.00% |           0.00% |           0.00% |
| LAT          | reduce_proximity | percentile-25 |           0.00% |           0.00% |           0.00% |           0.00% |
| LAT          | reduce_proximity | percentile-50 |           0.00% |           0.00% |           5.00% |           5.00% |
| LAT          | reduce_proximity | percentile-75 |           0.00% |          11.11% |          25.00% |          35.00% |
| LAT          | reduce_proximity | percentile-90 |          15.00% |          45.00% |          55.00% |          80.00% |
| LAT          | reduce_proximity | average       |           4.43% |          11.23% |          17.32% |          21.45% |

</details>

### Impact on Search time

| dataset_name | host_name        |      25.00% |      50.00% |      75.00% |     100.00% | Average     |
|--------------|------------------|------------:|------------:|------------:|------------:|-------------|
| FBIS         | 1_4_0            |        3.45 | 7.446666667 | 9.773489933 | 9.620300752 | 7.572614338 |
| FBIS         | reduce_proximity | 2.983333333 | 5.316666667 | 6.911073826 | 7.637218045 | 5.712072968 |
| FR94         | 1_4_0            | 2.236666667 |        4.45 | 5.523489933 | 4.560150376 | 4.192576744 |
| FR94         | reduce_proximity |        2.09 | 3.991666667 | 4.981543624 | 4.266917293 | 3.832531896 |
| FT           | 1_4_0            | 5.956666667 | 9.656666667 | 13.86912752 | 10.83270677 |  10.0787919 |
| FT           | reduce_proximity |        4.51 | 5.981666667 | 7.701342282 | 6.766917293 |  6.23998156 |
| LAT          | 1_4_0            | 5.856666667 | 9.233333333 | 12.98322148 | 10.78759398 | 9.715203865 |
| LAT          | reduce_proximity |        6.91 | 6.706666667 | 8.463087248 | 8.265037594 | 7.586197877 |

## Technical approach

- Ensure the MAX_DISTANCE constant is used everywhere needed
- Reduce the MAX_DISTANCE from 8 to 4

## Related

TBD

Co-authored-by: ManyTheFish <many@meilisearch.com>
2023-10-18 14:56:08 +00:00
ManyTheFish
27eec21415 Fix tests 2023-10-18 16:03:22 +02:00
Vivek Kumar
d4da06ff47
fix bug where distinct search with no ranking returns offset+limit hits 2023-10-11 19:02:16 +05:30
ManyTheFish
43989fe2e4 Reduce porximity range from 7 to 3 2023-10-03 12:16:48 +02:00
Vivek Kumar
abfa7ded25
use a new temp index in the test 2023-09-08 12:32:47 +05:30
Vivek Kumar
f2837aaec2
add another test case 2023-09-08 11:39:54 +05:30
Vivek Kumar
11df155598
fix highlighting bug when searching for a phrase with cropping 2023-09-08 11:39:52 +05:30
meili-bors[bot]
ccf3ba3f32
Merge #4019
4019: Bringing back changes from `v1.3.2` onto `main` r=irevoire a=Kerollmops



Co-authored-by: Kerollmops <clement@meilisearch.com>
Co-authored-by: meili-bors[bot] <89034592+meili-bors[bot]@users.noreply.github.com>
Co-authored-by: irevoire <irevoire@users.noreply.github.com>
Co-authored-by: Clément Renault <clement@meilisearch.com>
2023-08-28 12:14:11 +00:00
Clément Renault
8c0ebd1331
Update milli/src/search/new/bucket_sort.rs
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
2023-08-23 16:40:39 +02:00
Kerollmops
5130e06b41
Temporarily disable an assert in the ranking rules 2023-08-23 16:11:54 +02:00
meili-bors[bot]
914b125c5f
Merge #3945
3945: Do not leak field information on error r=Kerollmops a=vivek-26

# Pull Request

## Related issue
Fixes #3865

## What does this PR do?
This PR ensures that `InvalidSortableAttribute`and `InvalidFacetSearchFacetName` errors do not leak field information i.e. fields which are not part of `displayedAttributes` in the settings are hidden from the error message.

## PR checklist
Please check if your PR fulfills the following requirements:
- [x] Does this PR fix an existing issue, or have you listed the changes applied in the PR description (and why they are needed)?
- [x] Have you read the contributing guidelines?
- [x] Have you made sure that the title is accurate and descriptive of the changes?

Thank you so much for contributing to Meilisearch!


Co-authored-by: Vivek Kumar <vivek.26@outlook.com>
2023-08-22 18:55:27 +00:00
ManyTheFish
4a21fecf67 Merge branch 'main' into settings-customizing-tokenization 2023-08-08 16:08:16 +02:00
Vivek Kumar
dd57873f8e
hide fields not in the displayedAttributes list from errors 2023-08-05 16:03:10 +05:30
ManyTheFish
b0c1a9504a ensure the synonyms are updated when the tokenizer settings are changed 2023-07-26 09:33:42 +02:00
meili-bors[bot]
be72be7c0d
Merge #3942
3942: Normalize for the search the facets values r=ManyTheFish a=Kerollmops

This PR improves and fixes the search for facet values feature. Searching for _bre_ wasn't returning facet values like _brévent_ or _brô_.

The issue was related to the fact that facets are normalized but not in the same way as the `searchableAttributes` are. We decided to normalize them further and add another intermediate database where the key is the normalized facet value, and the value is a set of the non-normalized facets. We then use these non-normalized ones to get the correct counts by fetching the associated databases.

### What's missing in this PR?
 - [x] Apply the change to the whole set of `SearchForFacetValue::execute` conditions.
 - [x] Factorize the code that does an intermediate normalized value fetch in a function.
 - [x] Add or modify the search for facet value test.

Co-authored-by: Clément Renault <clement@meilisearch.com>
Co-authored-by: Kerollmops <clement@meilisearch.com>
2023-07-25 14:37:17 +00:00
Kerollmops
29ab54b259
Replace the hnsw crate by the instant-distance one 2023-07-25 12:37:35 +02:00
ManyTheFish
9c485f8563 Make the search and the indexing work 2023-07-24 18:35:20 +02:00
Kerollmops
691a536893
Implement the facet search with the normalized index 2023-07-24 17:56:17 +02:00