KitScout

Categories › Data & Databases › Vector databases & embeddings

embedding-anisotropy-check

SkillInstall · skills CLI

Use before reporting any cosine similarity computed over embeddings or transformer hidden states, whether the agent computed the vectors or loaded them. Measures the anisotropy of each side, centres by the population mean, and scores matched pairs against a permuted floor taken from the same comparison. Use when comparing one model''s embeddings across precisions, runtimes or layers, when evaluating retrieval, probes or adapters, or before calling a similarity high, two conditions in agreement,

Install

KitScout test notes

Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.

Similar tools

  • umap-learn 57,090 ★
    Applies UMAP-learn to nonlinear dimensionality reduction, 2D/3D embeddings, clustering preprocessing, supervis
  • azure-search-documents-py 49,672 ★
    Azure AI Search SDK for Python. Use for vector search, hybrid search, semantic ranking, indexing, and skillset
  • embedding-strategies 49,672 ★
    Guide to selecting and optimizing embedding models for vector search applications.
  • vector-database-engineer 49,672 ★
    Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pinecone, Weavia
  • data-storytelling 42,495 ★
    Transform data into compelling narratives using visualization, context, and persuasive structure. Use when pre