LLM Application Development
Intermediate
4.5
Choosing an Embedding Model
Not all embeddings are equal — pick the right one for retrieval.
0h 20m
1 lesson
1.2K students
What You'll Learn
Learning objectives will be added soon.
Tutorial Content
What to compare
- Quality — retrieval accuracy on your data (test it!).
- Dimensions — bigger isn't always better; affects storage and speed.
- Cost & latency — per-token price and throughput.
- Open vs. hosted — run locally or call an API.
How to decide
Build a small retrieval eval (questions + the chunks that should match) and measure recall@k for a few candidates: a hosted option (OpenAI, Voyage, Cohere) and an open one (BGE, E5). The winner on your corpus may surprise you — always test, don't assume.
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Tags
Embeddings
RAG
Evaluation