4656: Adding a new `searchableAttribute` no longer re-index all the attributes r=ManyTheFish a=Kerollmops
Fixes#4492.
## To Do
- [x] Do not call the `InnerSettingsDiff::only_additional_fields` function too many times
- [ ] Add tests
Co-authored-by: Clément Renault <clement@meilisearch.com>
Co-authored-by: ManyTheFish <many@meilisearch.com>
4646: Reduce `Transform`'s disk usage r=Kerollmops a=Kerollmops
This PR implements what is described in #4485. It reduces the number of disk writes and disk usage.
Co-authored-by: Clément Renault <clement@meilisearch.com>
4621: Bring back changes from v1.8.0 into main r=curquiza a=curquiza
Co-authored-by: ManyTheFish <many@meilisearch.com>
Co-authored-by: Tamo <tamo@meilisearch.com>
Co-authored-by: meili-bors[bot] <89034592+meili-bors[bot]@users.noreply.github.com>
Co-authored-by: Clément Renault <clement@meilisearch.com>
4597: Fix embeddings settings update r=ManyTheFish a=ManyTheFish
# Pull Request
- add some conditions reducing the work done when changing the settings
- add some benchmarks on embedders
## Related issue
Fixes#4585
Co-authored-by: ManyTheFish <many@meilisearch.com>
4576: increase the default search time budget from 150ms to 1.5s r=ManyTheFish a=irevoire
# Pull Request
## Related issue
Fixes#4575
## What does this PR do?
- increase the default search time budget from 150ms to 1.5s
Co-authored-by: Tamo <tamo@meilisearch.com>
4548: v1.8 hybrid search changes r=dureuill a=dureuill
Implements the search changes from the [usage page](https://meilisearch.notion.site/v1-8-AI-search-API-usage-135552d6e85a4a52bc7109be82aeca42#40f24df3da694428a39cc8043c9cfc64)
### ⚠️ Breaking changes in an experimental feature:
- Removed the `_semanticScore`. Use the `_rankingScore` instead.
- Removed `vector` in the response of the search (output was too big).
- Removed all the vectors from the `vectorSort` ranking score details
- target vector appearing in the name of the rule
- matched vector appearing in the details of the rule
### Other user-facing changes
- Added `semanticHitCount`, indicating how many hits were returned from the semantic search. This is especially useful in the hybrid search.
- Embed lazily: Meilisearch no longer generates an embedding when the keyword results are "good enough".
- Graceful embedding failure in hybrid search: when doing hybrid search (`semanticRatio in ]0.0, 1.0[`), an embedding failure no longer causes the search request to fail. Instead, only the keyword search is performed. When doing a full vector search (`semanticRatio==1.0`), a failure to embed will still result in failing that search.
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
4549: Hugging Face embedder improvements r=dureuill a=dureuill
Architectural changes/Internal improvements
### 1. Prefer safetensors weights over pytorch weights when available
safetensors weights are memory mapped, which reduces memory usage of supported models.
### 2. Update candle
Updates candle to `0.4.1`, now targeting crates.io and the tokenizers to `v0.15.2` (still on github).
This might fix https://github.com/meilisearch/meilisearch/issues/4399 thanks to the now included https://github.com/huggingface/candle/issues/1454
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
4535: Support Negative Keywords r=ManyTheFish a=Kerollmops
This PR fixes#4422 by supporting `-` before any word in the query.
The minus symbol `-`, from the ASCII table, is not the only character that can be considered the negative operator. You can see the two other matching characters under the `Based on "-" (U+002D)` section on [this unicode reference website](https://www.compart.com/en/unicode/U+002D).
It's important to notice the strange behavior when a query includes and excludes the same word; only the derivative ( synonyms and split) will be kept:
- If you input `progamer -progamer`, the engine will still search for `pro gamer`.
- If you have the synonym `like = love` and you input `like -like`, it will still search for `love`.
## TODO
- [x] Add analytics
- [x] Add support to the `-` operator
- [x] Make sure to support spaces around `-` well
- [x] Support phrase negation
- [x] Add tests
Co-authored-by: Clément Renault <clement@meilisearch.com>
4543: Bring back changes from v1.7.4 into main r=Kerollmops a=dureuill
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
Co-authored-by: meili-bors[bot] <89034592+meili-bors[bot]@users.noreply.github.com>
Co-authored-by: dureuill <dureuill@users.noreply.github.com>
4511: Bump charabia to 0.8.8 r=ManyTheFish a=6543
... and update lock file
this will add the fix (https://github.com/meilisearch/charabia/pull/275) to support markdown formatted codeblocks
Co-authored-by: 6543 <6543@obermui.de>
4466: Implements the search cutoff r=irevoire a=irevoire
# Pull Request
## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/4488
## What does this PR do?
- Adds a cutoff to the bucket sort after 150ms has been spent
- Adds a new setting to customize the default value of 150ms
- When the time is exceeded, we exit early with what we had the time to sort
- If the cutoff has been reached, the search details are updated with a new `Skip` ranking details for the ranking rules that were skipped
- Adds analytics to measure the total number of degraded search requests
- Adds the number of degraded search requests to the Prometheus metrics and Grafana dashboard
- The cutoff **must not** skip the filters; otherwise, we would leak documents to people who don’t have the right to see them
Co-authored-by: Tamo <tamo@meilisearch.com>
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
handles the niche case 🐩 in the hybrid search where:
1. a sort ranking rule is the first rule.
2. the keyword search is skipped at the first rule.
3. the semantic search is not skipped at the first rule.
Previously, we would have the skipped search winning, whereas we want the non skipped one winning.
4476: Make the `/facet-search` route use the `sortFacetValuesBy` setting r=irevoire a=Kerollmops
This PR fixes#4423 by ensuring that the `/facet-search` route uses the `sortFacetValuesBy` setting.
Note for the documentation team (to be moved in the tracking issue): Using the new `sortFacetValuesBy` setting can slow down the facet-search requests as Meilisearch iterates over the whole list of facet values and computes the count of documents on every entry. That is hardly or even impossible to optimize correctly.
### TODO
- [x] Create a custom HashMap wrapper for the facet `OrderBy` settings.
This wrapper will return the `OrderBy` setting of the facet, if not defined will use the default `*` one, and if not there either (strange) will fall back on the lexicographic one.
- [x] Create a `ValuesCollection` wrapper that implements the logic for the lexicographic and count order by.
- [x] Use it when there is no search query.
- [x] Use it when there is a search query with and without allowed typos.
- [x] Do not change the original logic, only use a wrapper.
- [x] Add tests
Co-authored-by: Clément Renault <clement@meilisearch.com>
4456: Add Ollama as an embeddings provider r=dureuill a=jakobklemm
# Pull Request
## Related issue
[Related Discord Thread](https://discord.com/channels/1006923006964154428/1211977150316683305)
## What does this PR do?
- Adds Ollama as a provider of Embeddings besides HuggingFace and OpenAI under the name `ollama`
- Adds the environment variable `MEILI_OLLAMA_URL` to set the embeddings URL of an Ollama instance with a default value of `http://localhost:11434/api/embeddings` if no variable is set
- Changes some of the structs and functions in `openai.rs` to be public so that they can be shared.
- Added more error variants for Ollama specific errors
- It uses the model `nomic-embed-text` as default, but any string value is allowed, however it won't automatically check if the model actually exists or is an embedding model
Tested against Ollama version `v0.1.27` and the `nomic-embed-text` model.
## 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?
Co-authored-by: Jakob Klemm <jakob@jeykey.net>
Co-authored-by: Louis Dureuil <louis.dureuil@gmail.com>
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>
