Amazon Titan Text Embeddings V2, a new embeddings model in the Amazon Titan family of models, is now generally available in Amazon Bedrock. Using Titan Text Embeddings V2, customers can perform various natural language processing (NLP) tasks by representing text data as numerical vectors, known as embeddings. These embeddings capture the semantic and contextual relationships between words, phrases, or documents in a high-dimensional vector space. This model is optimized for Retrieval-Augmented Generations (RAG) use cases and is also well suited for a variety of other tasks such as information retrieval, question and answer chatbots, classification, and personalized recommendations.
Source:: Amazon AWS