mnoGoSearch Pro stores its data in a SQL database using an ODBC driver. MySQL, PostgreSQL, Interbase, Cache, Mimer and MS Access can be used together with Standard Edition.

To search through your documents you index them using the indexer component of mnoGoSearch. Indexer is a spider that reads the documents you specify and stores information about words it finds in tables in a SQL database. You can specify what kind (format) of documents to index, location of documents (a website, a directory on server, single webpage, etc.). You can define the level of importance (weight) of various document properties and parts that are taken into account during searching.

This release is build using singnificantly improved new generation mnoGoSearch engine 3.2 which includes the following major changes:

Better internationalization: support of all modern widely used character set was added, including multibyte character sets for Chinese, Japanese and Korean, as well as Unicode UTF-8.

Templates: search.htm language was significantly improved. New feateres include conditional operators, external includes, simple/extended search modes were added.

Cached copy: you can see a snapshot of each page as it looked when indexer processed it, with search words hilighted.

Smart excerpts: search now fetches relevant excerpts containing query words.

Results ordering: it is now possible to choose relevancy/date results order, as well as reverse order.

Content encoding: indexer now supports gzip/compress/deflate HTTP compression. It significantly reduces traffic for HTTP servers supporting compression.

Meta tags: you can define custom META tags you want to index. Only Description and Keywords META tags were available in the previous version.

mnoGoSearch Pro MS SQL Edition stores its data in a MS SQL Server database using an ODBC driver.

To search through your documents you index them using the indexer component of mnoGoSearch. Indexer is a spider that reads the documents you specify and stores information about words it finds in tables in a SQL database. You can specify what kind (format) of documents to index, location of documents (a website, a directory on server, single webpage, etc.). You can define the level of importance (weight) of various document properties and parts that are taken into account during searching.

This release is build using singnificantly improved new generation mnoGoSearch engine 3.2 which includes the following major changes:

Better internationalization: support of all modern widely used character set was added, including multibyte character sets for Chinese, Japanese and Korean, as well as Unicode UTF-8.

Templates: search.htm language was significantly improved. New feateres include conditional operators, external includes, simple/extended search modes were added.

Cached copy: you can see a snapshot of each page as it looked when indexer processed it, with search words hilighted.

Smart excerpts: search now fetches relevant excerpts containing query words.

Results ordering: it is now possible to choose relevancy/date results order, as well as reverse order.

Content encoding: indexer now supports gzip/compress/deflate HTTP compression. It significantly reduces traffic for HTTP servers supporting compression.

Meta tags: you can define custom META tags you want to index. Only Description and Keywords META tags were available in the previous version.

mnoGoSearch Lite version is designed to work with small volumes of data (1000-3000 documents) and features a built-in database, so that no additional database software is needed. This version does not have SQL servers support.

This Lite release is build using singnificantly improved new generation mnoGoSearch engine 3.2 which includes the following major changes:

Better storage engine: mnoGoSearch Lite now uses SQLite (http://www.sqlite.org) engine to store its data, which made the features previously available only in SQL and Pro versions working in Lite version, including incremental indexing, smart reindexing, subsection control. New engine also makes Lite version suitable for bigger sites, up to several dozens thousand documents.

Better internationalization: support of all modern widely used character set was added, including multibyte character sets for Chinese, Japanese and Korean, as well as Unicode UTF-8.

Templates: search.htm language was significantly improved. New feateres include conditional operators, external includes, simple/extended search modes were added.

Cached copy: you can see a snapshot of each page as it looked when indexer processed it, with search words hilighted.

Smart excerpts: search now fetches relevant excerpts containing query words.

Results ordering: it is now possible to choose relevancy/date results order, as well as reverse order.

Content encoding: indexer now supports gzip/compress/deflate HTTP compression. It significantly reduces traffic for HTTP servers supporting compression.

Meta tags: you can define custom META tags you want to index. Only Description and Keywords META tags were available in the previous version.