Vector Embeddings in Amazon Bedrock

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Embeddings capture the meaning of a piece of text in a series of numbers called a vector. We can then use these vectors to determine how similar pieces of text are to each other.
We can use a vector database to store these embeddings and perform fast similarity searches.
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