Comments (1)
Errors
New? | Status code | Error code | Caused by | Error message |
---|---|---|---|---|
NEW | 400 | invalid_similar_id | id in request does not respect the format for document identifiers | the provided id is invalid. A document identifier can be of type integer or string, only composed of alphanumeric characters (a-z A-Z 0-9), hyphens (-) and underscores (_). |
NEW | 400 | not_found_similar_id | the document associated with the provided id was not found in the index | Document {id} not found. |
NEW | 400 | invalid_similar_attributes_to_retrieve | The https://www.meilisearch.com/docs/reference/api/search#attributes-to-retrieve parameter is invalid. It should be an array of strings, a string, or set to null. | |
NEW | 400 | invalid_similar_filter | This error occurs: if the filter parameter is invalid (It should be a string, array of strings, or array of array of strings for the POST endpoint, It should be a string for the GET endpoint). If the attribute used for filtering is not defined in the filterableAttributes list. If the filter expression has a missing or invalid operator. Read more about our supported operators | |
NEW | 400 | invalid_similar_limit | The https://www.meilisearch.com/docs/reference/api/search#limit parameter is invalid. It should be an integer. | |
NEW | 400 | invalid_similar_offset | The offset parameter is invalid. It should be an integer. | |
NEW | 400 | invalid_similar_show_ranking_score | The ranking_score parameter is invalid. It should be a boolean. | |
NEW | 400 | invalid_similar_show_ranking_score_details | The ranking_score_details parameter is invalid. It should be a boolean. | |
Reused | 400 | invalid_embedder | ||
The embedder parameter is invalid. It should be a string corresponding to the name of a configured embedder. | ||||
Reused | 400 | vector_embedding_error | Error while generating embeddings: {explanation} |
from documentation.
Related Issues (20)
- Promoting products with Meilisearch
- v1.9: Relevancy changes HOT 1
- v1.9: Distinct attributes
- v1.9: `rankingScoreThreshold`
- v1.9: AI-powered search updates
- v1.9: Remove `exportPuffinReport` experimental feature
- v1.9: `frequency` matching strategy
- v1.9: Update Docker version
- v1.9: Update Postman collection HOT 1
- v1.9: Update telemetry table HOT 11
- v1.9: Code sample tracker HOT 6
- geosearch struggling with `_geoRadius` filter HOT 1
- Missing `showRankingScoreDetails` on `/search` reference tables HOT 2
- Scout guide - specify required permissions for API key
- Some redirects are not working properly
- Improve `/search` reference intro
- Mention file size limit on the Cloud
- Improve documentation of `vector_embedding_error`
- Reference jwt.io in tenant tokens documentation
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from documentation.