Searches for facet values in a specific index.

Examples

Meili.Search.facet_search("movies", "genre", "sci-fi")
Meili.Search.facet_search(client, "movies", "genre", "sci-fi", filter: "rating > 4")

Searches for facet values, raising on error.

Performs search queries across multiple indexes.

Examples

queries = [
  %{index_uid: "movies", q: "star wars", limit: 5},
  %{index_uid: "books", q: "dune", limit: 5}
]
Meili.Search.multi_search(queries)
Meili.Search.multi_search(client, queries)

Performs multi-search queries, raising on error.

Performs a search query on a specific index.

Automatically converts snake_case search parameters to camelCase.

Options

• limit: Max number of results.
• offset: Number of results to skip.
• filter: Filter expression.
• facets: Facet attributes.
• sort: Sort attributes.
• attributes_to_retrieve / attributesToRetrieve: Attributes to return.
• attributes_to_highlight / attributesToHighlight: Attributes to highlight.
• show_ranking_score / showRankingScore: Include relevancy score.
• hybrid: Hybrid search configuration (e.g. semantic/lexical ratio).

Examples

Meili.Search.search("movies", "star wars", limit: 5)
Meili.Search.search(client, "movies", "star wars", attributes_to_retrieve: ["title"])

Performs a search query, raising on error.

Searches for documents similar to a specific document.

Examples

Meili.Search.similar("movies", %{id: "1", embedder: "default"})
Meili.Search.similar(client, "movies", %{id: "1", embedder: "default"}, limit: 5)

Searches for similar documents, raising on error.