v0.6.0

🔥 BM25 Full-Text Search is now available via the new Torus.bm25/5 macro

BM25 is a modern ranking algorithm that generally provides superior relevance scoring compared to traditional TF-IDF (used by full_text/5). This integration uses the pg_textsearch extension by Timescale.

See it in action on the demo page

Key features:

• State-of-the-art BM25 ranking with configurable index parameters (k1, b)
• Blazingly fast top-k queries via Block-Max WAND optimization (Torus.bm25/5 + limit)
• Simple syntax: Post |> Torus.bm25([p], p.body, "search term") |> limit(10)
• Score selection with :score_key and post-filtering with :score_threshold
• Language/stemming configured at index creation via text_config

Requirements:

• PostgreSQL 17+
• pg_textsearch extension installed
• BM25 index on the search column (with text_config for language)

See the BM25 Search Guide for detailed setup instructions and examples.

When to use bm25 vs full_text:

• Use bm25/5 for fast single-column search with modern relevance ranking
• Use full_text/5 for multi-column search with weights or when using stored tsvector columns