Semantic Similarity
NEW
Compare meaning with MiniLM embeddings
#embeddings#similarity#rag#hugging-face
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About Semantic Similarity
How Semantic Similarity Works
Both strings are embedded with MiniLM, then cosine similarity scores how close their meanings are.
Semantic Similarity embeds two strings with MiniLM and reports cosine similarity — useful for duplicate detection, SEO title matching, and teaching RAG retrieval.
Frequently asked questions
What score means similar?+
Above ~0.75 usually means strong semantic overlap; below ~0.45 is weakly related.
Limitations
Requires a working Hugging Face Inference embedding endpoint. Extremely short strings produce noisier scores.