March 28, 2010

Posted by John

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Turning MongoDB Into a Search Engine

I know you all think I am only going to post about Ruby and MongoDB so I have decided to shock you with a Pythong post. Yes, that typo was intentional. I always refer to Pythong as Pythong.

Anyway, recently, Harry Marr wrote up some thoughts on how to use MongoDB as a full text search engine.

The post was a fun read and the code is also up on Github. Enjoy all you pythongistas out there!

Labels: Elsewhere

3 Comments

  1. I did this for work a few months ago. It’s basically a spider with a limited full-text search. It was shockingly easy (and fun fun fun). I’ll see if I can release the code. It looks like he went way farther on the search side than I did (I cared more about the indexing side). Oh, and I used MongoMapper too, of course.

  2. I was also using mongodb for full text search into my products for an intranet based webapp but that’s not having rank algorithm at all. But I recently got an MongoDB plugin, MongoLantern which can do ranking and fulltext search using MongoDB in a very efficient way. You can also try use it and post your reviews.

    http://www.mongodb.org/display/DOCS/Mongo-Based+Applications

  3. Indrajeet Indrajeet

    Jan 30, 2016

    Hi there, I’m engineering student and I’m thinking about making project using MongoDB.
    I basically want to make a search engine but not exact keyword based so I don’t have to be specific for topic.
    I’m thinking about making similar topic document clusters for easy accesing.
    But I have no idea is it possible using this because of course I’m beginner.
    Any suggestions?
    (Sorry for my bad English)

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Authored by John Nunemaker (Noo-neh-maker), a web developer and programmer who has fallen deeply in love with Mongo. More about John.

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