Amazon’s Titan models, available via AWS Bedrock, offer general-purpose text models across Premier (powerful), Express (efficient), and Lite (cost-effective) categories. These models support a range of use cases from content generation to summarization and reasoning.
In addition to text generation models, Amazon Titan also includes embedding models that produce dense vector representations of text for use in semantic search, clustering, and retrieval-augmented generation (RAG). These embeddings are optimized for integration with AWS-native services such as OpenSearch and Amazon Kendra, offering a seamless path to deploy scalable, enterprise-grade vector search systems.
Provisioning Platforms:
MOHARA is keeping Titan on hold as we compare cost-performance trade-offs against our existing providers. Current Titan model performance does not warrant further assessment.