Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless
Machine Learning Blog
This blog post explains how to build a contextual text and image search engine for product recommendations using Amazon Bedrock's Amazon Titan Multimodal Embeddings model and Amazon OpenSearch Serverless.
Specifically, the article covers:
- Overview of the solution architecture using Amazon Titan Multimodal Embeddings, Amazon OpenSearch Serverless, and Amazon SageMaker Studio
- Prerequisites and steps to set up the solution
- Detailed walkthrough of running the solution, including data preparation, generating embeddings, indexing embeddings in OpenSearch, and performing contextual text and image searches
- Results showcasing contextual text and image search for product recommendations
- Conclusion highlighting the benefits and use cases of this solution
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