aws.amazon.com/blogs/database/accelerate-generative-ai-workloads-on-amazon-aurora-with-optimized-reads-and-pgvector
Preview meta tags from the aws.amazon.com website.
Linked Hostnames
16- 59 links toaws.amazon.com
- 2 links todocs.aws.amazon.com
- 2 links togithub.com
- 2 links topages.awscloud.com
- 2 links toportal.aws.amazon.com
- 2 links torepost.aws
- 2 links totwitter.com
- 2 links towww.facebook.com
Thumbnail

Search Engine Appearance
Improve the performance of generative AI workloads on Amazon Aurora with Optimized Reads and pgvector | Amazon Web Services
Generative AI has increased the possibilities for businesses to build applications that require searching and comparison of unstructured data types such as text, images, and video. Embeddings, or vectors, capture the meaning and context of this unstructured data in a machine-readable form, which is the basis for how similarity comparisons can be made directly in […]
Bing
Improve the performance of generative AI workloads on Amazon Aurora with Optimized Reads and pgvector | Amazon Web Services
Generative AI has increased the possibilities for businesses to build applications that require searching and comparison of unstructured data types such as text, images, and video. Embeddings, or vectors, capture the meaning and context of this unstructured data in a machine-readable form, which is the basis for how similarity comparisons can be made directly in […]
DuckDuckGo
Improve the performance of generative AI workloads on Amazon Aurora with Optimized Reads and pgvector | Amazon Web Services
Generative AI has increased the possibilities for businesses to build applications that require searching and comparison of unstructured data types such as text, images, and video. Embeddings, or vectors, capture the meaning and context of this unstructured data in a machine-readable form, which is the basis for how similarity comparisons can be made directly in […]
General Meta Tags
22- titleImprove the performance of generative AI workloads on Amazon Aurora with Optimized Reads and pgvector | AWS Database Blog
- titlefacebook
- titlelinkedin
- titleinstagram
- titletwitch
Open Graph Meta Tags
10og:locale
en_US- og:site_nameAmazon Web Services
- og:titleImprove the performance of generative AI workloads on Amazon Aurora with Optimized Reads and pgvector | Amazon Web Services
- og:typearticle
- og:urlhttps://aws.amazon.com/blogs/database/accelerate-generative-ai-workloads-on-amazon-aurora-with-optimized-reads-and-pgvector/
Twitter Meta Tags
6- twitter:cardsummary_large_image
- twitter:site@awscloud
- twitter:domainhttps://aws.amazon.com/blogs/
- twitter:titleImprove the performance of generative AI workloads on Amazon Aurora with Optimized Reads and pgvector | Amazon Web Services
- twitter:descriptionGenerative AI has increased the possibilities for businesses to build applications that require searching and comparison of unstructured data types such as text, images, and video. Embeddings, or vectors, capture the meaning and context of this unstructured data in a machine-readable form, which is the basis for how similarity comparisons can be made directly in […]
Link Tags
17- apple-touch-iconhttps://a0.awsstatic.com/main/images/site/touch-icon-iphone-114-smile.png
- apple-touch-iconhttps://a0.awsstatic.com/main/images/site/touch-icon-ipad-144-smile.png
- apple-touch-iconhttps://a0.awsstatic.com/main/images/site/touch-icon-iphone-114-smile.png
- apple-touch-iconhttps://a0.awsstatic.com/main/images/site/touch-icon-ipad-144-smile.png
- canonicalhttps://aws.amazon.com/blogs/database/accelerate-generative-ai-workloads-on-amazon-aurora-with-optimized-reads-and-pgvector/
Emails
1- ?subject=Improve%20the%20performance%20of%20generative%20AI%20workloads%20on%20Amazon%20Aurora%20with%20Optimized%20Reads%20and%20pgvector&body=Improve%20the%20performance%20of%20generative%20AI%20workloads%20on%20Amazon%20Aurora%20with%20Optimized%20Reads%20and%20pgvector%0A%0Ahttps://aws.amazon.com/blogs/database/accelerate-generative-ai-workloads-on-amazon-aurora-with-optimized-reads-and-pgvector/
Links
83- http://corpus-texmex.irisa.fr
- http://github.com/pgvector/pgvector
- https://aws.amazon.com
- https://aws.amazon.com/about-aws/whats-new/2023/05/amazon-aurora-i-o-optimized
- https://aws.amazon.com/about-aws/whats-new/2023/11/amazon-aurora-postgresql-optimized-reads