Am
Titan Text Embeddings V2
Amazon Titan Text Embeddings V2 is a light weight, efficient multilingual embedding model supporting 1024, 512, and 256 dimensions.
- Input
- text
- Output
- text
Providers
Available through 1 free provider. Use the model ID and API settings below to connect.
Vercel AI Gateway
VAVercel AI Gateway
* The provider match may differ from this model. Check its docs for details.
Benchmarks
Compare scores and explore results by category.
No benchmark results are available for this model yet.
Frequently asked questions
Free access, setup, and what to expect.
Free API access for Titan Text Embeddings V2 is listed through Vercel AI Gateway, but a specific request or token allowance isn’t available in the listed data. Check the Titan Text Embeddings V2 provider pricing and rate limits for what’s included and any account requirements.
To use Titan Text Embeddings V2, choose one of the listed Titan Text Embeddings V2 API providers and follow the provider’s account and API-key setup guide. Copy the Titan Text Embeddings V2 model ID and connection settings for your chosen provider into your app or API client. Model IDs can differ between providers. API requests go directly to the provider; Free Models is a comparison site.
Titan Text Embeddings V2 accepts text as listed input formats. Listed output formats include text. Image or audio input support does not imply image or audio generation. Check the chosen provider’s Titan Text Embeddings V2 documentation for supported file types and request formats.
Neither reasoning nor tool calling support is listed for Titan Text Embeddings V2. Reasoning enables additional processing for complex problems. Tool calling allows a model to request functions that your app executes. Check the chosen provider’s documentation for capability availability and setup.
No benchmark results are listed for Titan Text Embeddings V2 yet. Missing scores don’t establish poor performance. Compare scores within the same benchmark: coding indexes, Elo ratings, and win rates measure different things. The index comparison charts include only scored free models listed on Free Models. Evaluate Titan Text Embeddings V2 on examples from your own task alongside context size and provider limits.