meilisearch/MeiliSearch
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8 hours ago
MeiliSearch
1 days ago
MeiliSearch
2 days ago
MeiliSearch

v1.48.1 🫎

Revert #6432 due to a dumpless upgrade bug report.

Full Changelog: https://github.com/meilisearch/meilisearch/compare/v1.48.0...v1.48.1

2 days ago
MeiliSearch

v1.48.0 🫎​

✨ Enhancement

[Experimental] Render 🫎​ template route

by @Mubelotix in https://github.com/meilisearch/meilisearch/pull/5765

Introduces a new POST /render-template route that can be used to render any template or fragment on any input and associated renderRoute experimental feature that gates access to the route.

This route can be used to test document templates and fragments before and after having configured an embedder.

A body payload for the route is of the form:

{
  "template": /* templateTarget object */,
  "input": /* inputTarget object or null */
}

where template describes the template or fragment to render, and input describes what to use to render the template.

Upon calling this route, Meilisearch responds with:

{
  "template": "{{doc.text}}",
  "rendered": "template text after rendering using the input"
}

where template contains the unrendered base text of the document template, or the unrendered base JSON object of a fragment, and rendered contains the result of rendering the template of the chosen input.

If input is null in the request, then rendered is null in the response, and the route can be used solely to retrieve a template or fragment from the settings of an index.

Before calling the route

The API of this route is subject to change, so before calling this route, please enable the renderRoute experimental feature:

PATCH /experimental-features --json '{"renderRoute": true}'

Examples

  1. Rendering a document from an index on a document template from an embedder of that index
request
// POST /render-template

{
  "template": {
    "kind": "documentTemplate",
    "indexUid": "movies",
    "embedder": "myMoviesEmbedder"
  },
  "input": {
    "kind": "indexDocument",
    "indexUid": "movies",
    "id": "2"
}
response
{
  "template": "A movie titled {{doc.title}} whose description starts with {{doc.overview|truncatewords:10}}",
  "rendered": "A movie titled Ariel whose description starts with Taisto Kasurinen is a Finnish coal miner whose father has..."
}
  1. Rendering an inline document on a fragment from an embedder of an index
request
// POST /render-template

{
  "template": { 
    "kind": "indexingFragment", 
    "indexUid": "dogs", 
    "embedder": "multi",
    "fragment": "captionedImage" 
  },
  "input": { 
    "kind": "inlineDocument", 
    "inline": { // pass your document inline as a JSON object
      "kind": "dog",
      "name": "iko",
      "breed": "jack russell",
      "mime": "image/png",
      "image": "/9j/4AAQSk..."
    } 
  }
}
response
{
  "template": {
    "content": [
      {
        "type": "text",
        "text": "A picture of a {{doc.kind}} of breed {{doc.breed}}"
      },
      {
        "type": "image_base64",
        "image_base64": "data:{{doc.mime}};base64,{{doc.image}}"
      }
    ]
  },
  "rendered": {
    "content": [
      {
        "type": "text",
        "text": "A picture of a dog of breed jack russell"
      },
      {
        "type": "image_base64",
        "image_base64": "data:image/png;base64,/9j/4AAQSk..."
      }
    ]
  }
}
  1. Rendering a search query on a search fragment from a multimodal embedder of an index
request
// POST /render-template
{
  "template": { 
    "kind": "searchFragment", 
    "indexUid": "testIndex", 
    "embedder": "testEmbedder",
    "fragment": "justBreed"
  },
  "input": {
    "kind": "inlineSearch",
    "inline": { // pass the search query inline
      "q": "unused",
      "media": {
        "name": "iko",
        "breed": "jack russell"
      },
      "filter": "ignored"
    }
  }
}
response
    {
      "template": "It's a {{ media.breed }}",
      "rendered": "It's a jack russell"
    }
  1. Rendering an inline document on the document template from the chat settings of an index
request
// POST /render-template

{
  "template": {
    "kind": "chatDocumentTemplate",
    "indexUid": "movies"
	// no embedder to specify since chat document template is global to index
  },
  "input": {
    "kind": "indexDocument",
    "indexUid": "movies",
    "id": "2"
}
response
{
  "template": "{% for field in fields %}{% if field.is_searchable and field.value != nil %}{{ field.name }}: {{ field.value }}\n{% endif %}{% endfor %}",
  "rendered": "id: 2\ntitle: Ariel\noverview: Taisto Kasurinen is a Finnish coal miner whose father has just committed suicide and who is framed for a crime he did not commit. In jail, he starts to dream about leaving the country and starting a new life. He escapes from prison but things don't go as planned...\ngenres: DramaCrimeComedy\nposter: https://image.tmdb.org/t/p/w500/ojDg0PGvs6R9xYFodRct2kdI6wC.jpg\nrelease_date: 593395200\n"
}
  1. Rendering a document from an index on an inline document template
request
// POST /render-template

{
  "template": {
    "kind": "inlineDocumentTemplate",
    "inline": "You can pass templates inline as well: nice to test them! {{doc.id}}"
  },
  "input": {
    "kind": "indexDocument",
    "indexUid": "movies",
    "id": "2"
}
response
{
  "template": "You can pass templates inline as well: nice to test them! {{doc.id}}",
  "rendered": "You can pass templates inline as well: nice to test them! 2"
}
  1. Rendering an inline document on an inline indexing fragment
request
// POST /render-template

{
  "template": {
    "kind": "inlineFragment",
    "inline": {
      "json_maps": "supported for fragments",
      "any_string": "is in liquid format: {{doc.test}}"
    }
  },
  "input": {
     "kind": "inlineDocument",
    "inline": {
      "test": true
    }
  }
}
response
{
  "template": {
    "json_maps": "supported for fragments",
    "any_string": "is in liquid format: {{doc.test}}"
  },
  "rendered": {
    "json_maps": "supported for fragments",
    "any_string": "is in liquid format: true"
  }
}

[Experimental] Only support foreign filters on retrieval routes

by @ManyTheFish in https://github.com/meilisearch/meilisearch/pull/6446

Foreign filters are meant to be used in a retrieval context (search, get document...), but all the actions related to writing or modifying a document could have several unexpected behaviors if foreign filters are accepted. We prefer forbidding the usage of this feature on the writing routes.

The following routes do not support Foreign-filter anymore:

Additional change: we now ensure that the experimental features are checked when parsing a filter

🪲 Bug fixes

🔒 Security

🔩 Miscellaneous

❤️ Thanks again to @genisis0x and @antcybersec

9 days ago
MeiliSearch

v1.47.0 🦇

🌈 Enhancements

Search personalization on federated search

We now support using the search personalization feature on federated search requests.

Like page/hitPerPage or limit/offset, the personalization option must be specified in the federation attribute to work properly. Otherwise, an error will be returned reminding you to move the attribute in federation.

By @ManyTheFish in https://github.com/meilisearch/meilisearch/pull/6414

The new settings indexer is feature complete 🎉

  • We now better support the tokenizer-related settings
  • We improved the quality of the new settings indexer to enhance the engine's performance when changing the locales, the dictionary, synonyms, stop words, separator, and non-separator tokens.
  • This makes the new settings indexer feature-complete, meaning that, unless you set the MEILI_EXPERIMENTAL_NO_EDITION_2024_FOR_SETTINGS environment variable to true, all settings tasks can now be handled by the new settings indexer, bringing a better scaling behavior, much faster cancellation, and a more precise progress view.

By @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6409

Observability improvements

We expose more Prometheus metrics to improve observability, specifically to show more metrics on document throughput and ease debugging.

By @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6430

🦋 Fixes

🔒 Security

🔩 Misc. changes

Search implementation refactor

Refactor the search pipeline to mutualize the code. The new implementation will always perform a federated search under the hood, and then the output will be transformed into the expected route's output.

Noticeable changes from the user perspective:

  • Some error messages have been modified
  • Small breaking change: a few error codes change, such as MultiSearch<Error> <--> Search<Error>

Other changes

New Contributors

Full Changelog: https://github.com/meilisearch/meilisearch/compare/v1.46.1...v1.47.0

16 days ago
MeiliSearch

v1.46.1 🦆

Queue documents fetch routes

Add an experimental feature, queueDocumentsFetch, forcing the routes GET indexes/:uid/documents and POST indexes/:uid/documents/fetch to wait in the search queue if there is no available thread to process them.

16 days ago
MeiliSearch

v1.46.0 🦆

This release introduces fixes for a regression in v1.45.0, where we were batching deletions by filter with other deletions or additions. It also enables the new settings indexer to support more parameters, making the engine faster to index documents when those settings are specified.

✨ Enhancement

  • Support exact and disable on numbers in the new settings indexer by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6398 Introduce support for exact words and disable-on-words parameters in the new settings indexer, making the engine more efficient when changing these settings.

  • Support computing prefixes in the new settings indexer by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6391 Support for the prefix search settings in the new settings indexer, so that changing this parameter makes the engine more efficient.

🪲 Bug fixes

  • Better limit read bytes when creating the S3 multipart part by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6405 This fixes an issue we had with the multipart part size by ensuring we never construct a part larger than the defined multipart part size. With this fix, we always create a multipart with the provided multipart part size, except for the last part. Thanks, @vidit-virmani, for the help investigating the issue.

  • Batch of documentDeletionByFilter with documentAdditionOrUpdate by @Kerollmops and @ManyTheFish in https://github.com/meilisearch/meilisearch/pull/6415 Correctly implement the support for auto-batching deletion by filter with document replacement and updates. This fixes a regression introduced in v1.45.0.

  • Fix a panic with incomplete filters by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6421 Fixes an internal panic when a filter is incomplete by returning an error instead.

🔒 Security

🔩 Miscellaneous

22 days ago
MeiliSearch

v1.45.2 🦒

🪲 Bug Fixes

  • Fix internal vector stores quantization config desync by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6411 We noticed issues when dumpless upgrading databases containing embedders from versions older than v1.33.1. This version fixes those databases by removing the corrupted embeddings from the impacted indexes.

Full Changelog: https://github.com/meilisearch/meilisearch/compare/v1.45.1...v1.45.2

27 days ago
MeiliSearch

v1.45.1 🦒

🪲 Bug Fixes

Full Changelog: https://github.com/meilisearch/meilisearch/compare/v1.45.0...v1.45.1

29 days ago
MeiliSearch

v1.45.0 🦒

Meilisearch v1.45.0 mainly improves indexing performance when changing settings and also improves document fetch performance.

✨ Enhancement

  • Autobatch deletions by filter with additions by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6389 While Meilisearch tries to improve indexing speed when users add documents and mix those additions with deletions via a filter, it is still an anti-pattern to interleave both. It is recommended to delete documents by ID whenever possible, as the engine is optimized to merge them, thereby drastically speeding up indexation.
  • Improve settings indexing performance & visibility We are introducing support for more settings in the nez settings indexer. If you find any bugs, please report them on GitHub. You can disable the new settings indexer by setting the environment variable like this: MEILI_EXPERIMENTAL_NO_EDITION_2024_FOR_SETTINGS=true or use the equivalent dedicated CLI parameter.
    • Support non-extracting parameters by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6393 Changing one of the following settings is now directly handled by the new settings indexer: displayed fields, synonyms, the primary key, authorize typos, min word len one and two typos, max values per facet, sort facet values by, pagination max total hits, search cut off, chat, and foreign keys.
    • Support the global facet search by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6390 Meilisearch can use the new settings indexer when the settings change the facet search root boolean parameter.

🪲 Bug Fixes

  • Fetching documents no longer blocks the actix worker @dureuill in https://github.com/meilisearch/meilisearch/pull/6402
  • Fix an internal error when changing the binary quantization by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6396 We fixed an issue where users were changing the binary-quantized boolean in embedder configurations. The change corrupted the database, making it impossible to change the quantization in the future. Users had to create a binary-quantized embedder from scratch, or they could never change it again.

🔩 Miscellaneous

Full Changelog: https://github.com/meilisearch/meilisearch/compare/v1.44.0...v1.45.0