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| [[admin:indexing:overview:autocomplete|AutoComplete]] | | [[admin:indexing:overview:autocomplete|AutoComplete]] | | ||
| **[[admin:indexing:overview:text|Text]]** | | **[[admin:indexing:overview:text|Text]]** | | ||
| - | [[admin:indexing:overview:advanced|Advanced]] | | + | [[admin:indexing:overview:advanced|Advanced Strategies]] |
| - | [[admin:indexing:overview:applications|Applications]] | + | |
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| === Omnidex Text === | === Omnidex Text === | ||
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| + | Omnidex allows applications to search for both textual and non-textual data using SQL statements. For most textual data, a index parses the individual keywords in the column and allows them to be individually qualified. This feature is well suited for small textual fields, such as names, addresses, descriptions, comments and so forth. QuickText indexes are simple and efficient, but when working with larger blocks of text, more powerful indexing is needed. | ||
| Omnidex Text provides provides specialized indexes designed for large amounts of textual data stored in a database, such as articles, knowledgebase entries, forums, lengthy product descriptions and so forth. Omnidex Text works seamlessly with the rest of Omnidex and allows large textual fields to be searched alongside regular columns in standard SQL statements, using standard ODBC and JDBC interfaces. Queries can issue traditional queries with criteria, table joins, aggregations and ordering, while at the same time querying large blocks of text. | Omnidex Text provides provides specialized indexes designed for large amounts of textual data stored in a database, such as articles, knowledgebase entries, forums, lengthy product descriptions and so forth. Omnidex Text works seamlessly with the rest of Omnidex and allows large textual fields to be searched alongside regular columns in standard SQL statements, using standard ODBC and JDBC interfaces. Queries can issue traditional queries with criteria, table joins, aggregations and ordering, while at the same time querying large blocks of text. | ||