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Amazon
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Image Credit: Amazon
Build a reverse image search engine with Amazon Titan Multimodal Embeddings in Amazon Bedrock and AWS managed services
- Visual search technology revolutionizes ecommerce search process by enabling users to use a photo to search for similar products on their ecommerce websites.
- Reverse image search engine enables users to find related information by analyzing the visual content to find similar images in its database.
- Significant progress has been made in developing multimodal embedding models that can embed various data modalities.
- Amazon Bedrock provides high-performing foundation models and a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.
- Amazon Titan Multimodal Embeddings incorporates 25 years of experience innovating with AI and machine learning at Amazon.
- To implement the proposed solution, AWS account and working knowledge of AI and AWS management services are required.
- Ingest the embeddings into an OpenSearch Serverless vector index, which serves as the vector database for the solution.
- Use Amazon Rekognition to analyze the product images and extract labels and bounding boxes for these images.
- Perform a similarity search on the vector database to find product images that closely match the search query embedding.
- The solution enhances product recommendations by providing precise and relevant results based on visual queries, thereby significantly improving the user experience for ecommerce solutions.
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