All projects matching “text similarity”

Search functions or classes by meaning and by keyword. ``mode=bm25`` ranks by lexical match, ``mode=vector`` by embedding similarity to the query text, and ``mode=hybrid`` (default) fuses both rankings with reciprocal rank fusion. Returns up to ``top_k`` matches with their repository, file path and score; the ``domain``, ``ontology_concept_uri``, ``confidence_min`` and ``has_tests`` filters apply

Scores text against every category in all six taxonomies (one embedding, cosine similarity) and returns the top `per` rows per taxonomy. With `taxonomy` and `category` it also returns the target's rank, score, gap to #1, and a phrase bank split into phrases the text already uses and phrases it…

Turn text into a numeric embedding vector for semantic search, RAG and similarity. Multilingual.

Compare text using deterministic, case-insensitive bag-of-words token-overlap similarity for lexical duplicate screening. Lowercase each input and tokenize with Python Unicode regex \w+ (letters, digits and underscores). Count repeated tokens. Similarity = sum(min(count_a(token),count_b(token))) / max(words_a,words_b,1), rounded to four decimal places. Returns exactly similarity in [0,1], words_a