Build financial search applications using the Amazon Bedrock Cohere multilingual embedding model
CAT
1 min read
Enterprises have access to massive amounts of data, much of which is difficult to discover because the data is unstructured. Conventional approaches to analyzing unstructured data use keyword or synonym matching. They don’t capture the full context of a document, making them less effective in dealing with unstructured data. In contrast, text embeddings use machine […]
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Build financial search applications using the Amazon Bedrock Cohere multilingual embedding model
