text-embedding-ada-002 is OpenAI's second-generation embedding model that unified multiple prior embedding endpoints into a single model, producing 1536-dimensional vectors suitable for search, clustering, classification, and recommendations.
import { embed } from 'ai';
const result = await embed({ model: 'openai/text-embedding-ada-002', value: 'Sunny day at the beach',})text-embedding-ada-002 was released on December 15, 2022 as a major consolidation of OpenAI's embedding model lineup. Previously, OpenAI offered multiple first-generation embedding endpoints across different model sizes (Davinci, Curie, Babbage, Ada) and task types (similarity, search, classification). text-embedding-ada-002 unified all of these into a single model that produces 1536-dimensional vectors usable across search, clustering, classification, and recommendation tasks.
At launch, text-embedding-ada-002 was a substantial improvement over the first-generation models, outperforming the previous best (Davinci) on most benchmarks while being significantly cheaper and producing more compact vectors. It became the standard embedding model used by the majority of OpenAI API consumers.
The model has since been superseded by the text-embedding-3 family released in January 2024. text-embedding-3-small delivers higher MTEB scores at reduced cost with the same default 1536 dimensions, making it a direct upgrade path. text-embedding-3-large pushes accuracy further with 3072 dimensions and substantial multilingual improvements. For existing deployments that haven't yet migrated, text-embedding-ada-002 remains available and functional.