Connection check
verified live · 27h ago
similarity-search-api-sdk
Stateless NMI + cosine fusion with entropy-driven alpha calibration
Tools
3
GitHub stars
—
Installs / wk
—
Licence
—
Transport
streamable-http
Last checked
27h ago
Tools & capabilities
3 toolsRead from the running server on 27h ago.
nexus_similarity_search_api_estimate_corpus_entropy_profile
n_binscorpus_vectors*
Computes the aggregate entropy-calibrated alpha for a corpus without running a full search -- useful to inspect before committing to a large rank_items_by_nmi_cosine_fusion call. R… Computes the aggregate entropy-calibrated alpha for a corpus without running a full search -- useful to inspect before committing to a large rank_items_by_nmi_cosine_fusion call. Returns a single aggregate corpus_entropy value, NOT a per-dimension breakdown -- the real logic only exposes the mean marginal entropy across dimensions, not H(X_d) per individual dimension. Do NOT use expecting per-dimension granularity. Requires an x402 payment.
nexus_similarity_search_api_rank_items_by_nmi_cosine_fusion
top_kn_binsquery_vector*alpha_overridecorpus_vectors*
Ranks a corpus of items against a query vector using a calibrated fusion score (alpha * cosine + (1-alpha) * NMI_normalizado), where alpha is auto-derived from the corpus's margina… Ranks a corpus of items against a query vector using a calibrated fusion score (alpha * cosine + (1-alpha) * NMI_normalizado), where alpha is auto-derived from the corpus's marginal entropy unless overridden. Results are identified by their 0-indexed position in corpus_vectors (this tool does not accept explicit item IDs). Use this when you need semantically-calibrated similarity over a stateless corpus of up to 500k items without a vector database. Do NOT use for purely geometric nearest-neighbor search where NMI overhead is unnecessary, nor for corpora larger than 500k items per call. Requires an x402 payment.
nexus_similarity_search_api_score_pair_nmi_cosine
alphan_binsvector_a*vector_b*