CourseRAG · Module 4: Embeddings and Vector Representations · part 19 of 82
Part 19 · Module 4: Embeddings and Vector Representations

Topic 2: Model Selection

12 min read·21 Sept 2026

2.1 Dimensions, Context Length, Cost, Latency, Throughput

Intuition: choosing an embedding model is like choosing a delivery vehicle: a bicycle, a van, or a truck. The biggest isn't always best; it depends on the load, the distance, and the budget.

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