I am new to lucene/solr. Information Retrieval books describe a very simple retrieval pipeline, where you represent documents and queries by features. For example, the average embedding of words in a document or query. Then use a cosine similarity to find the most similar document to a query.
These IR books give examples of calculating features (typically in Python). What is the equivalent in Lucene/Solr ? Do I need to code a plug-in ? Any examples handy ? Thanks for your patience ! -- Kent
