ML//RAG//embedding model

- Dedicated models trained to produce dense vector representations optimized for retrieval.

Dedicated models trained to produce dense vector representations optimized for retrieval.

SentenceTransformers, OpenAI embeddings, Nomic Embed, Jina v3 — each tuned for semantic similarity.

Matryoshka embeddings: train once, truncate vectors to any dimension — flexible quality/cost tradeoff.

Evaluated on MTEB leaderboard (known overfitting, but still the de-facto benchmark)