Build a reverse image search engine with Amazon Titan Multimodal Embeddings in Amazon Bedrock and AWS managed services
Machine Learning Blog
This article explains how to build a reverse image search engine using Amazon Titan Multimodal Embeddings from Amazon Bedrock, Amazon Rekognition, Amazon OpenSearch Serverless, and other AWS services.
Specifically, the article covers:
- Solution overview and architecture
- Prerequisites and dataset preparation
- Generating image embeddings using Amazon Titan Multimodal Embeddings
- Uploading embeddings to Amazon OpenSearch Serverless vector index
- Extracting key objects from query images using Amazon Rekognition
- Embedding query object images and performing similarity search
- Displaying closest matching image results
- Clean up of resources
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
May 29
2024
2024
Enhance image search experiences with Amazon Personalize, Amazon OpenSearch Service, and Amazon Titan Multimodal Embeddings in Amazon Bedrock
Jun 3
2024
2024
Implement serverless semantic search of image and live video with Amazon Titan Multimodal Embeddings
May 2
2024
2024
Get started with Amazon Titan Text Embeddings V2: A new state-of-the-art embeddings model on Amazon Bedrock
Feb 1
2024
2024
Getting started with Amazon Titan Text Embeddings in Amazon Bedrock
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.