Instead of the user manually specifying the model dimensions it will now automatically get determined
Just like with hf.rs the word "test" gets embedded to determine the dimensions of the output
Add a dedicated error type for if the model doesn't exist (don't automatically pull it though) and set the fault of that error to be the user
4462: Divide threshold by ten r=dureuill a=ManyTheFish
Change the facet incremental vs bulk indexing threshold to better fit our user needs, it might be changed in the future if we have more insights
Co-authored-by: ManyTheFish <many@meilisearch.com>
4458: Replace logging timer by spans r=Kerollmops a=dureuill
- Remove logging timer dependency.
- Remplace last uses in search by spans
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
4459: Put a bound on OpenAI timeout r=dureuill a=dureuill
# Pull Request
## Related issue
Fixes#4460
## What does this PR do?
- Makes sure that the timeout of the openai embedder is limited to max 1min, rather than the prior 15min+
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
Initial prototype of Ollama embeddings actually working, error handlign / retries still missing.
Allow model to be any String and require dimensions parameter
Fixed rustfmt formatting issues
There were some formatting issues in the initial PR and this should not make the changes comply with the Rust style guidelines
Because I accidentally didn't follow the style guide for commits in my commit messages I squashed them into one to comply
4433: Enhance facet incremental r=Kerollmops a=ManyTheFish
# Pull Request
## Related issue
Fixes#4367Fixes#4409
## What does this PR do?
- Add a test reproducing #4409
- Fix#4409 by removing a document from a level only if it is no more present in all the linked sub-level nodes
- Optimize facet Incremental indexing by creating or deleting a complete level once per field id instead of for each facet value
- Optimize facet Incremental indexing by doing the additions and the deletions in the same process instead of doing them separately
Co-authored-by: ManyTheFish <many@meilisearch.com>
4391: Tracing r=dureuill a=irevoire
# Pull Request
- [ ] Hide the parameters of the process batch
- [x] Make actix-web trace every call on every route
- [x] Remove all `env_logger`/`logs` dependencies
- [x] Be able to enable or disable the memory measurement using the `/logs` route parameters
See the following product discussion: https://github.com/orgs/meilisearch/discussions/721
Supersedes https://github.com/meilisearch/meilisearch/pull/4338
## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/4317
## What does this PR do?
Update the format of the logs from:
```
[2024-02-06T14:54:11Z INFO actix_server::builder] starting 10 workers
```
to
```
2024-02-06T13:58:14.710803Z INFO actix_server::builder: 200: starting 10 workers
```
First, run meilisearch with the route enabled via the feature flag:
- `cargo run --experimental-enable-logs-route`
- Or at runtime by sending the following payload:
```
curl \
-X PATCH 'http://localhost:7700/experimental-features/' \
-H 'Content-Type: application/json' \
--data-binary '{
"logsRoute": true
}'
```
Then gather data from meilisearch by calling for example:
```
curl \
-X POST http://localhost:7700/logs \
-H 'Content-Type: application/json' \
--data-binary '{
"mode": "fmt",
"target": "milli=trace"
}'
```
Once your operation is over, tell meilisearch to stop the route:
```
curl \
-X DELETE http://localhost:7700/logs
```
----
In the case you’re profiling code, you will be interested by the next command that converts the output of the route to a format that the firefox profiler can understand.
```bash
cargo run --release --bin trace-to-firefox -- 2024-01-17_17:07:55-indexing-trace.json
```
Then go to https://profiler.firefox.com and load it.
Note that we can also share the profiles using the https://share.firefox.dev website.
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
Co-authored-by: Clément Renault <clement@meilisearch.com>
Co-authored-by: Tamo <tamo@meilisearch.com>
4388: Cap the maximum memory of the grenad sorters r=curquiza a=Kerollmops
This PR clamps the memory usage of the grenad sorters to a reasonable maximum. Grenad sorters are opened on multiple threads at a time. This can result in higher memory usage than expected, even though it shouldn't consume more than the memory available.
Fixes#4152.
Co-authored-by: Clément Renault <clement@meilisearch.com>
-> make sure the settings change is rejected or the settings task fails when the specified model doesn't support
overriding `dimensions` and the passed `dimensions` differs from the model's default dimensions.
4313: Fix document formatting performances r=Kerollmops a=ManyTheFish
reduce the formatted option list to the attributes that should be formatted,
instead of all the attributes to display.
The time to compute the `format` list scales with the number of fields to format;
cumulated with `map_leaf_values` that iterates over all the nested fields, it gives a quadratic complexity:
`d*f` where `d` is the total number of fields to display and `f` is the total number of fields to format.
Co-authored-by: ManyTheFish <many@meilisearch.com>
- 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
4108: Fix bug where search with distinct attribute and no ranking, returns offset+limit hits r=curquiza a=vivek-26
# Pull Request
## Related issue
Fixes#4078
## What does this PR do?
This PR -
- Fixes bug where search with distinct attribute and no ranking, returns offset+limit hits.
- Adds unit and integration tests.
## 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>
4039: Fix multiple vectors dimensions r=ManyTheFish a=Kerollmops
This PR fixes#4035, making providing multiple vectors in documents possible. This is fixed by extracting the vectors from the non-flattened version of the documents.
Co-authored-by: Kerollmops <clement@meilisearch.com>
3994: Fix synonyms with separators r=Kerollmops a=ManyTheFish
# Pull Request
## Related issue
Fixes#3977
## Available prototype
```
$ docker pull getmeili/meilisearch:prototype-fix-synonyms-with-separators-0
```
## What does this PR do?
- add a new test
- filter the empty synonyms after normalization
Co-authored-by: ManyTheFish <many@meilisearch.com>
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>
3986: Fix geo bounding box with strings r=ManyTheFish a=irevoire
# Pull Request
When sending a document with one geofield of type string (i.e.: `{ "_geo": { "lat": 12, "lng": "13" }}`), the geobounding box would exclude this document.
This PR fixes this issue by automatically parsing the string value in case we're working on a geofield.
## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/3973
## What does this PR do?
- Automatically parse the facet value iif we're working on a geofield.
- Make insta works with snapshots in loops or closure executed multiple times. (you may need to update your cli if it panics after this PR: `cargo install cargo-insta`).
- Add one integration test in milli and in meilisearch to ensure it works forever.
- Add three snapshots for the dump that mysteriously disappeared I don't know how
Co-authored-by: Tamo <tamo@meilisearch.com>
3963: Fix the milli crate r=ManyTheFish a=irevoire
Milli was using the serde feature of either without enabling it first; thus, it wasn't working.
It was working in meilisearch, though, because `meilisearch-types` was using the feature which enables it globally for all the other crates.
## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/3962
Co-authored-by: Tamo <tamo@meilisearch.com>
3952: Use the new safe `read-txn-no-tls` heed feature r=ManyTheFish a=Kerollmops
[We recently found out](https://github.com/meilisearch/heed/issues/191#issuecomment-1650280513) that the `read-sync-txn` heed feature was invalid and must be removed from this crate. We were declaring it in milli/meilisearch but, fortunately, not sharing the `RoTxn`s across threads 😮💨
[I recently introduced the `read-txn-no-tls` heed feature](https://github.com/meilisearch/heed/pull/194), which implements `RoTxn: Send` and allows multiple read transactions on a single thread (which we use).
This PR removes the `sync-read-txn` heed feature from the _Cargo.toml_ file. I will fix this in heed v0.20.0 and will fill a RustSec advisory in the meantime.
Co-authored-by: Clément Renault <clement@meilisearch.com>
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>
3921: Deactivate camel case segmentation r=dureuill a=ManyTheFish
# Pull Request
This PR deactivates the camel case segmentation to retrieve the possibility to accept typos over camel-cased words
## Related issue
Fixes#3869Fixes#3818
## What does this PR do?
- deactivates camelcase segmentation
related to #3919
Co-authored-by: ManyTheFish <many@meilisearch.com>
3866: Update charabia v0.8.0 r=dureuill a=ManyTheFish
# Pull Request
Update Charabia:
- enhance Japanese segmentation
- enhance Latin Tokenization
- words containing `_` are now properly segmented into several words
- brackets `{([])}` are no more considered as context separators so word separated by brackets are now considered near together for the proximity ranking rule
- fixes#3815
- fixes#3778
- fixes [product#151](https://github.com/meilisearch/product/discussions/151)
> Important note: now the float numbers are segmented around the `.` so `3.22` is segmented as [`3`, `.`, `22`] but the middle dot isn't considered as a hard separator, which means that if we search `3.22` we find documents containing `3.22`
Co-authored-by: ManyTheFish <many@meilisearch.com>
3834: Define searchable fields at runtime r=Kerollmops a=ManyTheFish
## Summary
This feature allows the end-user to search in one or multiple attributes using the search parameter `attributesToSearchOn`:
```json
{
"q": "Captain Marvel",
"attributesToSearchOn": ["title"]
}
```
This feature act like a filter, forcing Meilisearch to only return the documents containing the requested words in the attributes-to-search-on. Note that, with the matching strategy `last`, Meilisearch will only ensure that the first word is in the attributes-to-search-on, but, the retrieved documents will be ordered taking into account the word contained in the attributes-to-search-on.
## Trying the prototype
A dedicated docker image has been released for this feature:
#### last prototype version:
```bash
docker pull getmeili/meilisearch:prototype-define-searchable-fields-at-search-time-1
```
#### others prototype versions:
```bash
docker pull getmeili/meilisearch:prototype-define-searchable-fields-at-search-time-0
```
## Technical Detail
The attributes-to-search-on list is given to the search context, then, the search context uses the `fid_word_docids`database using only the allowed field ids instead of the global `word_docids` database. This is the same for the prefix databases.
The database cache is updated with the merged values, meaning that the union of the field-id-database values is only made if the requested key is missing from the cache.
### Relevancy limits
Almost all ranking rules behave as expected when ordering the documents.
Only `proximity` could miss-order documents if all the searched words are in the restricted attribute but a better proximity is found in an ignored attribute in a document that should be ranked lower. I put below a failing test showing it:
```rust
#[actix_rt::test]
async fn proximity_ranking_rule_order() {
let server = Server::new().await;
let index = index_with_documents(
&server,
&json!([
{
"title": "Captain super mega cool. A Marvel story",
// Perfect distance between words in an ignored attribute
"desc": "Captain Marvel",
"id": "1",
},
{
"title": "Captain America from Marvel",
"desc": "a Shazam ersatz",
"id": "2",
}]),
)
.await;
// Document 2 should appear before document 1.
index
.search(json!({"q": "Captain Marvel", "attributesToSearchOn": ["title"], "attributesToRetrieve": ["id"]}), |response, code| {
assert_eq!(code, 200, "{}", response);
assert_eq!(
response["hits"],
json!([
{"id": "2"},
{"id": "1"},
])
);
})
.await;
}
```
Fixing this would force us to create a `fid_word_pair_proximity_docids` and a `fid_word_prefix_pair_proximity_docids` databases which may multiply the keys of `word_pair_proximity_docids` and `word_prefix_pair_proximity_docids` by the number of attributes in the searchable_attributes list. If we think we should fix this test, I'll suggest doing it in another PR.
## Related
Fixes#3772
Co-authored-by: Tamo <tamo@meilisearch.com>
Co-authored-by: ManyTheFish <many@meilisearch.com>
