vector-search

vector-search

Perform vector-based searches in Meilisearch indexes using a JSON array or text query, with options for hybrid search, filters, and attribute selection to refine results.

Instructions

Perform a vector search in a Meilisearch index

Input Schema

Name	Required	Description
`attributes`	No	Attributes to include in the vector search
`embedder`	No	Name of the embedder to use (if omitted, a 'vector' must be provided)
`filter`	No	Filter to apply (e.g., 'genre = horror AND year > 2020')
`hybrid`	No	Whether to perform a hybrid search (combining vector and text search)
`hybridRatio`	No	Ratio of vector vs text search in hybrid search (0-1, default: 0.5)
`indexUid`	Yes	Unique identifier of the index
`limit`	No	Maximum number of results to return (default: 20)
`offset`	No	Number of results to skip (default: 0)
`query`	No	Text query to search for (if using 'embedder' instead of 'vector')
`vector`	Yes	JSON array representing the vector to search for

Input Schema (JSON Schema)

{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false,
  "properties": {
    "attributes": {
      "description": "Attributes to include in the vector search",
      "items": {
        "type": "string"
      },
      "type": "array"
    },
    "embedder": {
      "description": "Name of the embedder to use (if omitted, a 'vector' must be provided)",
      "type": "string"
    },
    "filter": {
      "description": "Filter to apply (e.g., 'genre = horror AND year > 2020')",
      "type": "string"
    },
    "hybrid": {
      "description": "Whether to perform a hybrid search (combining vector and text search)",
      "type": "boolean"
    },
    "hybridRatio": {
      "description": "Ratio of vector vs text search in hybrid search (0-1, default: 0.5)",
      "maximum": 1,
      "minimum": 0,
      "type": "number"
    },
    "indexUid": {
      "description": "Unique identifier of the index",
      "type": "string"
    },
    "limit": {
      "description": "Maximum number of results to return (default: 20)",
      "maximum": 1000,
      "minimum": 1,
      "type": "number"
    },
    "offset": {
      "description": "Number of results to skip (default: 0)",
      "minimum": 0,
      "type": "number"
    },
    "query": {
      "description": "Text query to search for (if using 'embedder' instead of 'vector')",
      "type": "string"
    },
    "vector": {
      "description": "JSON array representing the vector to search for",
      "type": "string"
    }
  },
  "required": [
    "indexUid",
    "vector"
  ],
  "type": "object"
}

Meilisearch MCP Server

Instructions

Input Schema

Input Schema (JSON Schema)

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