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AI Lesson & Submodule

Vector Similarity

Compare Cosine, Dot Product, and L2 distance metrics.

Why This Matters

Selecting the wrong similarity metric causes retrieval mismatch errors depending on vector lengths.

What You Will Learn

  • •Calculate vector angles
  • •Compare dot products
  • •Contrast similarity metrics

Concepts Covered

Euclidean L2 distancesDot products mappingAngle cosine similarities

Mapped Foundation Project: Resume / JD Matcher

Semantic matching workspace that parses resumes, converts paragraphs into vector embeddings, and measures job description fits.

Architecture Preview

Pipeline mapping files uploads to text, calling embed endpoints, and plotting relative match score vectors.

PDF Resume InputJD Text InputEmbeddings API
Tech Stack Planned
ReactTypeScriptChart.js
GitHub: Coming SoonLive Demo: Coming Soon
Coming Soon

Technical Interview Value

  • ?Compare the mathematical properties and performance differences of L2 distance vs Cosine similarity
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