Build financial search applications using the Amazon Bedrock Cohere multilingual embedding model
Machine Learning Blog
This blog post discusses how to build financial search applications using the Amazon Bedrock Cohere multilingual embedding model. It showcases an application that can search and query across financial news in different languages.
Specifically, the article covers:
- Cohere's multilingual embedding model and its features
- Use cases for text embedding like semantic search and topic modeling
- An overview of the solution for searching financial news in multiple languages
- How to embed and index documents using Cohere's model on Amazon Bedrock
- Building a retrieval system to query the embedded documents
- Improving search results further using Cohere's Rerank model
- Conclusion summarizing the benefits of using Cohere's models on Amazon Bedrock
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