fulltext_search

Search text data in a specified table using BM25 similarity and apply optional attribute filters to retrieve precise results. Designed for integration with Baidu Vector Database MCP Server.

Instructions

Perform full text search combining BM25 similarity and scalar attribute filtering in the Mochow instance.

Args:
    table_name (str): Name of the table to search.
    index_name (str): Name of the inverted index to perform full text search.
    search_text (str): Text to search.
    limit (int): Maximum number of results. Defaults to 10.
    output_fields (Optional[list[str]]): Fields to return in the results. Defaults to None.

Returns:
    str: A string containing the full text search results.

Input Schema

Name	Required	Description	Default
`filter_expr`	No
`index_name`	Yes
`limit`	No
`output_fields`	No
`search_text`	Yes
`table_name`	Yes

Input Schema (JSON Schema)

{
  "properties": {
    "filter_expr": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Filter Expr"
    },
    "index_name": {
      "title": "Index Name",
      "type": "string"
    },
    "limit": {
      "default": 10,
      "title": "Limit",
      "type": "integer"
    },
    "output_fields": {
      "anyOf": [
        {
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Output Fields"
    },
    "search_text": {
      "title": "Search Text",
      "type": "string"
    },
    "table_name": {
      "title": "Table Name",
      "type": "string"
    }
  },
  "required": [
    "table_name",
    "index_name",
    "search_text"
  ],
  "title": "fulltext_searchArguments",
  "type": "object"
}

Baidu Vector Database MCP Server

fulltext_search

Instructions

Input Schema

Input Schema (JSON Schema)

Other Tools from Baidu Vector Database MCP Server

Related Tools

MCP directory API