All projects on Base 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.

Normalize URL strings for link deduplication and stable hashing without network access. Deterministic URL normalization using Python urllib.parse: strip surrounding whitespace, require parsed http/https scheme and nonempty authority, lowercase scheme and the entire authority (including any userinfo), use / for an empty path, remove the final path-parameter component and fragment. Decode/re-encode