Tool ·
Postings lab
Inside an inverted index: build one from documents and look at docIDs, frequencies and positions; compress the postings with VByte, Elias γ/δ, Golomb/Rice, Simple-9/16, FOR and PForDelta blocks of 128, Lucene's PForUtil and Roaring bitmaps (bits per posting, bit by bit); intersect with skips and galloping; and step through MaxScore, WAND and Block-Max WAND against exhaustive BM25.

