Titan Text Embeddings V2
Titan Text Embeddings V2 is Amazon's text embedding model tuned for retrieval-augmented generation (RAG). Vectors only; no output token charge. You can choose 256-, 512-, or 1024-dimensional output vectors, with support for 100+ languages.
index.ts
import { embed } from 'ai';
const result = await embed({ model: 'amazon/titan-embed-text-v2', value: 'Sunny day at the beach',})More models by Amazon
| Model |
|---|
| 300K | 0.4s | 67tps | $0.06/M | $0.24/M | — | — |  | 12/03/2024 | |||||
| 300K | 0.4s | 152tps | $0.80/M | $3.20/M | — | — | | 12/03/2024 | |||||
| 1M | 0.4s | 208tps | $0.30/M | $2.50/M | Read:$0.07/M Write:— | — | — | | 12/01/2024 | ||||
| 128K | 0.3s | $0.04/M | $0.14/M | — | — | |