full-text-search: In-memory full text search engine

[ bsd3, data, library, search, text ] [ Propose Tags ]

An in-memory full text search engine library. It lets you run full-text queries on a collection of your documents.

Features:

  • Can search over any type of "document". (You explain how to extract search terms from them.)

  • Supports documents with multiple fields (e.g. title, body)

  • Supports documents with non-term features (e.g. quality score, page rank)

  • Uses the state of the art BM25F ranking function

  • Adjustable ranking parameters (including field weights and non-term feature scores)

  • In-memory but quite compact. It does not keep a copy of your original documents.

It is independent of the document type, so you have to write the document-specific parts: extracting search terms and any case-normalisation or stemming. This is quite easy using libraries such as tokenize and snowball.

For an example, see the code for the hackage-server where it is used for the package search feature.

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Versions [RSS] 0.2.0.0, 0.2.1.0, 0.2.1.1, 0.2.1.3, 0.2.1.4, 0.2.2.0, 0.2.2.1, 0.2.2.2 (info)
Dependencies array (>=0.4 && <0.5), base (>=4.5 && <4.7), containers (>=0.4 && <0.6), text (>=0.11 && <1.2), vector (>=0.10 && <0.11) [details]
License BSD-3-Clause
Copyright 2013-2014 Duncan Coutts, 2014 Well-Typed LLP
Author Duncan Coutts
Maintainer Duncan Coutts <duncan@well-typed.com>
Category Data, Text, NLP
Source repo head: darcs get http://code.haskell.org/full-text-search/
Uploaded by DuncanCoutts at 2014-02-12T22:26:23Z
Distributions NixOS:0.2.2.2
Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 5252 total (16 in the last 30 days)
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Status Docs available [build log]
Successful builds reported [all 1 reports]