Interactive online courses
We’re launching a portal with free online interactive courses to make learning to use Manticore Search much easier.
Category: Articles
TF-IDF in a nutshell
Back in 1958 Hans Peter Luhn assumed in his paper “The Automatic Creation of Literature Abstracts” that “the frequency of word occurrence in an article furnishes a useful measurement of word significance” which is until now probably one of the most significant things in the Information Retrieval science and is used in all well known big and small search engines starting from Google and Yahoo to custom search solutions such as ElasticSearch and Manticore Search.
Default charset tables and stopwords files
In this article we talk about the new additions in the character set tables and stopwords which aim to simplify the usage of these options when configuring indexes.
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Manticore 2.7.5 vs Sphinx 3.1.1
Hi
Here we benchmarked Sphinx 3.0.2 vs Manticore 2.6.2. This was 8 months ago and both Manticore and Sphinx changed since then. As it’s said in Sphinx 3.0.3 announcement Sphinx 3.0.3 is up to 2x faster compared to 3.0.2, so it’s interesting to do another benchmark. This time let’s test on a real dataset – Hacker News comments.
The benchmark was conducted with the following conditions:
About startup, mmap, mlock and –force-preread
As it was mentioned in article ‘Indexes load at startup‘ now all the indexes (attributes and word lists files) are not physically loaded into RAM, but memory-mapped instead. It allows to bring them up much faster on startup, but also has some side consequences I want to explain.