@hackage full-text-search0.2.2.1

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.