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

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

Features:

• Keyword queries and auto-complete/auto-suggest queries.

• 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.

• Quick incremental index updates, making it possible to keep your text search in-sync with your data.

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

The source package includes a demo to illustrate how to use the library. The demo is a simplified version of how the library is used in the hackage-server where it provides the backend for the package search feature.

Modules

[Index]

Flags

Automatic Flags

Name	Description	Default
build-search-demo	Build a little program illustrating the use of the library	Disabled

Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info

Downloads

• full-text-search-0.2.1.3.tar.gz [browse] (Cabal source package)
• Package description (revised from the package)

Note: This package has metadata revisions in the cabal description newer than included in the tarball. To unpack the package including the revisions, use 'cabal get'.

Maintainer's Corner

Package maintainers

• AdamGundry, DuncanCoutts, MikolajKonarski

For package maintainers and hackage trustees

• edit package information

Candidates

• 0.2.1.0, 0.2.1.4