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.
Flags
Manual Flags
Name | Description | Default |
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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-0.2.2.2.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
Maintainer's Corner
For package maintainers and hackage trustees
Candidates
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) |
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Change log | changelog |
Dependencies | array (>=0.4 && <0.6), base (>=4.5 && <4.19), containers (>=0.4 && <0.7), text (>=0.11 && <2.1), vector (>=0.11 && <0.14) [details] |
Tested with | ghc ==8.10.7 || ==9.0.2 || ==9.2.7 || ==9.4.4 || ==9.6.1 |
License | BSD-3-Clause |
Copyright | 2013-2014 Duncan Coutts, 2014 Well-Typed LLP, 2014-2023 IRIS Connect Ltd. |
Author | Duncan Coutts |
Maintainer | Duncan Coutts <duncan@well-typed.com>, Adam Gundry <adam@well-typed.com> |
Category | Data, Text, Search |
Bug tracker | https://github.com/well-typed/full-text-search/issues |
Source repo | head: git clone git@github.com:well-typed/full-text-search.git |
Uploaded | by AdamGundry at 2023-03-21T12:39:13Z |
Distributions | NixOS:0.2.2.2 |
Reverse Dependencies | 1 direct, 0 indirect [details] |
Executables | search-demo |
Downloads | 5320 total (11 in the last 30 days) |
Rating | (no votes yet) [estimated by Bayesian average] |
Your Rating | |
Status | Docs available [build log] Last success reported on 2023-03-21 [all 1 reports] |