A boosting dismax query parser for Apache Solr. The bmax query parser relies on field types and tokenizer chains to parse the user query, discover synonyms, boost and penalize terms at query time. Hence it is highly configurable. The lucene query composed is a boosted and reranked dismax query with a minimum must match of 100%.
Querqy is a framework for query preprocessing in Java-based search engines. It comes with a powerful, rule-based preprocessor named 'Common Rules Preprocessor', which provides query-time synonyms, query-dependent boosting and down-ranking, and query-dependent filters.
The QuerySegmenter core library is used to find typed segments within a user query. For example, for the query “Pizza New York”, the segment “New York” can be extracted as a segment of type “city”. The typed segments are matched against a dictionary, which is usually a text file.
The AutoComplete (AC) enhances the search experience through suggest-as-you-type and auto-complete functionality built into the search form. As one starts to enter search terms, the module detects a pause in typing and offers a list of suggested searches. One can then easily pick one of the suggestions or continue refining the suggestions by typing in more of the query. For example, if you type "bass" AC might offer suggestions that include "bass fishing" or "bass guitar", and even "sea bass" (note how "bass" is not necessarily the first word)