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Amazon Titan Text Embeddings

Amazon
closed / Overall score: 2.3

Amazon’s text embedding model on Bedrock, currently Titan Text Embeddings V2 (amazon.titan-embed-text-v2:0): an 8,000-token text embedder with configurable output dimensions defaulting to 1,024, invoked through the Bedrock runtime and used as the default embedder for Bedrock Knowledge Bases.

Still current but visibly aging. AWS’s model card records Titan Text Embeddings V2 with a 2024-04-30 launch and a lifecycle of Active, so it has not been superseded on paper; in practice Amazon now steers multimodal retrieval to the Nova line and this remains the text option. The Hugging Face repo amazon/Titan-text-embeddings-v2 is a card, not a release — it holds README.md and config.json and no weights — but its README carries a full 329-result MTEB model-index, which is the only published benchmark for the model.

Openness

1 high confidence
1.0
weights
closed(the amazon/Titan-text-embeddings-v2 Hub repo holds README.md and config.json only
the model runs solely on Bedrock as amazon.titan-embed-text-v2
0)
data
closed(training corpus not released or described)
code
closed(no training or inference implementation
license
proprietary(AWS end-user license over a Bedrock-hosted model
the Hub card records license
other and distributes nothing)

Titan Text Embeddings V2 is API-only, reachable only through Bedrock. Its Hugging Face repository looks like a weights release but holds only a model card and a config file, so its license field governs a README rather than a checkpoint.

  • https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-amazon-titan-text-embeddings-v2.html recorded 2026-09-11

    The Bedrock model card gives model ID amazon.titan-embed-text-v2:0, an 8K context window, a 2024-04-30 launch date and 'Model lifecycle: Active'. Access is through the Bedrock runtime and the page offers no download. It is also the whole of Amazon's product documentation for this model, and it says nothing about the corpus - the strings "training data", "training corpus", "trained on" and "dataset" appear nowhere on it - which is what establishes data as closed rather than merely undocumented.

  • https://huggingface.co/api/models/amazon/Titan-text-embeddings-v2 recorded 2026-09-11

    amazon/Titan-text-embeddings-v2: gated false, tags include 'license:other', and the file list is ['.gitattributes', 'README.md', 'config.json'] — no weight shards. Last modified 2024-04-30.

Adoption

3 medium confidence
3.0

Amazon publishes no download or call-volume figure for Titan; the Hub card's downloads measure a README, not the model. Adoption is read instead from its standing as a first-party Bedrock model with an active lifecycle and its role as the default embedder for Bedrock Knowledge Bases, which is broad but single-platform distribution, below models Microsoft and Google resell too.

Capability

2 high confidence
2.0

Titan Text Embeddings V2's evaluation is unusually complete for a closed model -- 329 MTEB results published by the vendor at release, with nothing newer since -- but it is short-context, text-only and roughly two generations behind the frontier. It is scored level with mistral-embed, another 8K-token, text-only model of the same generation still sold unchanged.

Verified 2026-09-11