Get started with Amazon Titan Text Embeddings V2: A new state-of-the-art embeddings model on Amazon Bedrock

This article introduces Amazon Titan Text Embeddings V2, a new state-of-the-art text embedding model from AWS. It covers the benefits of the V2 model compared to the previous V1 version, including optimizations for retrieval-augmented generation (RAG) solutions, flexible embedding sizes, improved multilingual support, and lower costs.

Specifically, the article covers:

• Benefits of Amazon Titan Text Embeddings V2 (optimized for RAG, flexible embedding sizes, improved multilingual support)
• Benchmark results and guidance on evaluating the model
• How to use the V2 model on Amazon Bedrock with code examples
• Guidance on benchmarking and evaluating the model for your use case
• Cost-benefit analysis examples for migrating from V1 to V2