Fusion AI 4.2.0 Release Notes

Release date: 15 February 2019

New features

  • Smarter relevancy with query rewriting

    Query rewriting turns ineffective queries into more relevant results by automatically correcting misspelled terms, expanding queries to include synonyms, boosting known phrases, and applying your own business rules.

    4.2.0 ties together existing query rewriting features and adds new features to make query rewriting easier to configure:

  • Refine the final search results with response rewriting

    Similar to query rewriting, response rewriting can apply machine learning, business rules, or other criteria to Solr’s response, refining the final set of search results before Fusion sends them to the search application. Response rewriting can be performed using rules and a set of new query pipeline stages that fall into two categories:

    • Distribute clicks more evenly among the top N results

      These stages act on the whole set of documents in the response:

  • Manipulate specific search result items

    These stages act on individual documents in the response:

  • More Natural Language Processing (NLP) power in pipelines

    This release includes a new NLP Annotator index stage and query stage that leverage the popular John Snow NLP library for Spark, introducing these new NLP features in addition to the existing Named Entity Extraction (NER) functionality:

    • Sentence extraction

    • Part-of-Speech (POS) tagging

    • Shallow parsing (chunking)