Show HN: Embedding Similarity with Confidence Intervals
Category: ai-ml
Tags: embeddings, confidence-intervals, nlp, word2vec, fastapi
Score: 7.0/10 (Innovation: 7, Technical: 8, Documentation: 8, Utility: 5)
This project provides confidence intervals for word embedding similarity scores by training ensembles of Word2Vec models, aligning them with Generalized Procrustes Analysis, and serving results via a FastAPI API. It's interesting because it quantifies uncertainty in semantic similarity—a novel approach that helps distinguish reliable from noisy embedding relationships.
Target audience: data engineers, nlp researchers, backend devs
Repository: https://www.embedding-analytics.com · Python · Apache-2.0 · 2 stars
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