similar to: Score in ferret

Hi Folks, I''ve just released version 0.9.0. This latest version of Ferret is an alpha release. I have removed the old c extension and Ferret is now running on a fully ported C library. This has allowed some huge performance improvements both with regard to memory and CPU usage. There will probably be a few portability issues to start with. It has been developed on Linux so it should

Hi, I''ve listened in to this mail list for quite a while now but not doing anything with Ferret until I was ready to incorporate it. I''ve used Lucene for years, but not Ferret. I downloaded and installed the ''bleeding edge'' version (lets call it 0.10.9.1). There appears to be a significant re-working of the API happening. It all looks good. But there

hi, i''ve to choose a search engine for a medium-big site with a lot of searches and inserts at the same moment, do you suggest me something? i''m thinking about ferret, but i read that it has some problems with this king of "work" :( -- Posted via http://www.ruby-forum.com/.

Hi folks, Just thought I better let you all know that I''m still working on the next release of Ferret. I''ve been working the last 7 days doing nothing but Ferret development. The last iteration generated a diff of almost 5000 lines so there are some pretty major changes. Most people won''t notice these changes however as the API remains unchanged. But if you were having

Hi folks, This latest release of Ferret has a lot of improvements. There have been substantial improvements to performance. Try it for yourself to see. I won''t be publishing any numbers just yet. I will say though that it''s still about 2-4 times slower than Lucene with the extension installed. There is also some performance improvements in the pure Ruby version if you

Just a quick note for future reference - at least for me, ferret won''t work on Ruby 1.8.4. gem install ferret Successfully installed ferret-0.11.4-mswin32 ruby -v ruby 1.8.4 (2005-12-24) [i386-mswin32] irb irb(main):001:0> require ''ferret'' A windows error message box appears - ruby.exe - Entry Point Not Found The procedure entry point rb_w32_write could not be

I want to compare two documents in the index (i.e. retrieve the cosine similarity/score between two documents term-vector''s). Is this possible using the standard Ferret functionality? Thanks in advance, Jeroen Bulters -- Posted via http://www.ruby-forum.com/.

i have this error when i try to install ferret C:\Documents and Settings\>gem install ferret Need to update 6 gems from http://gems.rubyforge.org ...... complete Building native extensions. This could take a while... ERROR: While executing gem ... (Gem::Installer::ExtensionBuildError) ERROR: Failed to build gem native extension. ruby extconf.rb install ferret creating Makefile nmake

Hi there, What''s the current status of the Windows port? I may be in a position to lend a hand over the next couple of weeks - where should I start looking? And what''s the best way to get SVN HEAD? This happens: $ svn checkout svn://www.davebalmain.com/ferret/trunk ferret svn: Can''t connect to host ''www.davebalmain.com'': Connection refused --

Hi, I am just getting started with Ferret, but I have a couple of questions. Any help is appreciated. 1) Will the current Ferret implementation only work on one server due to the index file? If it will work on multiple servers, could you point me towards some documentation? If not, are there plans to add support in the future? 2) This may not be Ferret-specific, but if I were implementing

I found it quite fun to generate index by ferret. However, I had to use lucene now. Can I use the index that I''ve already done by ferret? ps. Lucene 2.2.0 vs Ferret 0.11.4 Thx! -- Posted via http://www.ruby-forum.com/.

Lucene, and perhaps most search engines, are biased towards small fields with little content (where thus the term frequency is higher). Lucene has the option to define a custom (Similarity) class to calculate the similarity between two fields (custom calculation of lengthNorm and tf) in different documents. But how do I do this in ferret? (I know to boost a field, but this is not what I

Hey folks, Sorry for cross posting like this but this is an important announcement for all Ferret users. ** Description ** Firstly for those who don''t know, Ferret is a full-text search library which makes adding search to your application a breeze. It''s much faster than MySQL full-text search as well most other search libraries out there. It allows you to do Boolean (+ruby +

Anybody who knows whether ferret or acts_as_ferret support wordsegment search? like what lucene can done. I wanna know,if not i will use lucene instead of this can''t found relevant documents on this aspect in ruby -- Posted via http://www.ruby-forum.com/.

Hey guys, I''ve been trying out ferret 0.9.3 on my powerbook this weekend and I''ve been triggering ''bus errors'' when using the Query API. If I programmatically build up strings, it works just fine. There''s some more information available in the trac ticket http://ferret.davebalmain.com/trac/ticket/62 Is anyone successfully using the Query API on

In the O''reilly Ferret short cuts, I found very useful example for me. It explains how to make custom Tokenizer. But that book doesn''t explain how to make custom Filter. (especially, how to implement the #text=() method) I''m a newbee and I don''t understand how do I create my own custom Filter. Are there some good source code examples?? -- Posted via

There is serious memory leak bug in ferret. I''m having this error on TextDrive Container (aka. Joyent Accelerators) OpenSolaris with Ferret 0.11.4 It happens while searching for some terms with accented or special characters. This makes ferret to allocate lots of memory (usually reaching 3+ GB) and failing if another query like this is executed. Any ideas on that, could this be locale

Hello! I am developing a rails application in a test environment on Windows XP and recently upgraded to InstantRails 1.5. During the upgrade process, I went to install the latest ferret gem and realized that the latest gem compiled for Windows was 10.9. We upgraded our production environment (Ubuntu) to 11.1-rc2 successfully, but wanted to find out if we were going to run into any problems

Recently I''ve been revisiting some of my search code. With a greater understanding of how Java Lucene implements its search methods, I realized that one level of abstraction is not present in the Ferret classes/methods. Here are the relevant method signatures: Ferret''s search methods: in Ferret::Index::Index: search(query, options = {}) -> returns a TopDocs

Hi, I have a largish index [700MB] which is updated from time to time, requiring me to close and recreate the Ferret::Search::Searcher to use the latest index. My problem is that the first few searches on the new index are slow [by comparison to before the close/recreate], I''m guessing because the new index is being loaded into RAM by my OS and into Ferret as needed. I''m