Similarity Metrics (Cosine, Dot Product, Euclidean) — Roadmap Step &…
How vector similarity is actually calculated
- Level: beginner
- Estimated time: 1 days
- Roadmap: Retrieval-Augmented Generation (RAG) & Vector Databases
Before this step
Study resources
- Hugging Face Documentation (Article) — Official documentation covering embedding models and retrieval-related libraries. Background reading/viewing for: Similarity Metrics (Cosine, Dot Product, Euclidean).
Part of
- Understanding Embeddings — section
- Retrieval-Augmented Generation (RAG) & Vector Databases roadmap — the full learning path