All projects on Base matching “embedding vectors”

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

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

Research an ecommerce store, online business, or ecommerce market using current public sources. Returns store analysis, categories, positioning, pricing patterns, offers, policies, competitors, market research, and citations.