AWS – Amazon Titan Embeddings is now generally available

Amazon Titan Embeddings is a text embeddings model that converts natural language text including single words, phrases, or even large documents, into numerical representations that can be used to power use cases such as search, personalization, and clustering based on semantic similarity. Optimized for text retrieval to enable Retrieval Augmented Generation (RAG) use cases, Amazon Titan Embeddings, enables you to first convert your text data into numerical representations or vectors and then use those vectors to accurately search for relevant passages from a vector database, allowing you to make the most of your proprietary data in combination with other foundation models (FMs).

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