full-text-search

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.