Hi

Then go with DocFetcher -- it's Java and entirely portable -- the portable 
version can be run of the same portable storage as your files. 

http://docfetcher.sourceforge.net/en/index.html

regards


On Thursday, July 31, 2014 4:31:51 PM UTC+2, Kathir J wrote:
>
> I am using windows and thinking of a tool which works irrespective of the 
> OS atleast linux and windows.
>
> Thanks for the details.
>
>
> On Thu, Jul 31, 2014 at 6:18 AM, Matabele <[email protected] 
> <javascript:>> wrote:
>
>> Hi
>>
>> If you are looking for something fast with a GUI, have a look at Recoll 
>> (uses Xapian index database.) This is my preference as it is actively 
>> maintained and comes with a decent manual (the Beagle project appears to 
>> have been abandoned.) 
>>
>> If you want something portable with a GUI, have a look at DocFetcher 
>> (uses Lucene.) 
>>
>> http://alternativeto.net/software/recoll/
>>
>> There are numerous server side solutions -- a few listed here.
>>
>> http://alternativeto.net/software/elasticsearch/
>>
>>
>> regards
>>
>> On Wednesday, July 30, 2014 10:47:54 AM UTC+2, Kathir J wrote:
>>
>>> Hi,
>>>
>>> i have already posted the question in http://stackoverflow.com/
>>> questions/25030572/50-000-articles-parsing-html-text-
>>> xml-faster-search-results and this is not double posting but to check 
>>> about the TiddlyWiki feasibility and fast.
>>>
>>> I have huge collection of articles which can be converted into a 
>>> TiddlyWiki pages.
>>>
>>> currently for example
>>>
>>> 1947 - 100 1948 - 200 ... 2014....
>>>
>>> Each page has huge text example 250/500 KB size.
>>>
>>> I tried with Zim portable edition and added all the pages and sub-pages 
>>> and the search was really slow to get the results eventhough it was 
>>> referring to local directory and index is enabled.
>>>
>>> I need to search and display the results in less than 5 seconds.
>>>
>>> example search keywords:
>>>
>>>    1. going
>>>    2. going away
>>>    3. passing over
>>>
>>> clarifications:
>>>
>>> 1. How about the speed of Tiddly Wiki
>>> 2. How to get the results in the expected time frame?
>>>
>>> Thanks.
>>>
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