Amazon Titan Text Embeddings V2 Now Available in Amazon Bedrock

May 02, 2024 at 5:42:12 AM

TL;DR Amazon's new Titan Text Embeddings V2, now available in Amazon Bedrock, is optimized for Retrieval-Augmented Generation (RAG) and pre-trained on 100+ languages and code. The model allows output vector size selection, balancing detail and computational time. It also introduces improved unit vector normalization for better vector similarity accuracy. It can be used for semantic searches, label classification, and improving search result relevance.

Amazon Titan Text Embeddings V2 Now Available in Amazon Bedrock

The Amazon Titan family of models, exclusive to Amazon Bedrock, leverages Amazon's AI and ML expertise. The latest addition, Amazon Titan Text Embeddings V2, is optimized for Retrieval-Augmented Generation (RAG) and pre-trained on 100+ languages and code. It allows users to choose the size of the output vector (256, 512, or 1024), balancing between detail and computational time. Shorter vectors improve response time and reduce storage costs. Vectors with 512 dimensions maintain approximately 99% of the accuracy of 1024-dimension vectors, while 256-dimension vectors maintain 97% accuracy.

The new model also introduces an improved unit vector normalization, improving accuracy when measuring vector similarity. Users can choose between normalized or unnormalized versions of the embeddings based on their use case.

Amazon Titan Text Embeddings V2 is suited for various use cases, including semantic searches on documents, classifying labels into data-based learned representations, and improving the quality and relevance of search results.

RAG uses embeddings to fetch relevant information from a custom source for a large language model (LLM). Embeddings act as condensed summaries that capture the key idea of a text. Amazon Titan Text Embeddings V2 ensures RAG retrieves the most relevant information for the LLM, leading to more accurate answers.

The model is optimized for high accuracy and retrieval performance at smaller dimensions for reduced storage and latency. Users can interact with Amazon Titan Text Embeddings V2 indirectly through Knowledge Bases for Amazon Bedrock or directly invoke the model from their code.

The model accepts three parameters:

  • inputText – The text to convert to embeddings.
  • normalize – A flag indicating whether to normalize the output embeddings.
  • dimensions – The number of dimensions the output embeddings should have.

Amazon Titan Text Embeddings V2 will soon be the default LLM proposed by Knowledge Bases for Amazon Bedrock. Existing knowledge bases created with the original model will continue to work without changes.

Q&A

Have more questions on this topic? Ask our AI assistant for in-depth insights.

The Only Digital Marketing Feed You'll Ever Need.

Stay informed your way. Tailored updates when and how you want them. 100% Free.

10,000+ Users

500+ Sources

1000+ Tools

Or

Related Posts

Amazon Titan Image Generator and watermark detection API are now available in Amazon Bedrock

Amazon Titan Image Generator and watermark detection API are now available in Amazon Bedrock

Top-Notch Google Ads Audit Tool

Top-Notch Google Ads Audit Tool

Featured
TikTok Launches Automotive Ads

TikTok Launches Automotive Ads

TikTok For Business
TikTok For Business

Official Source

Official Source

TikTok For Business is a Official Source. The source has been verified by Swipe Insight team.

Official Source
LinkedIn Launches Conversions API to Enhance B2B Marketing Campaign Measurement Trending ️‍πŸ”₯

LinkedIn Launches Conversions API to Enhance B2B Marketing Campaign Measurement

LinkedIn
LinkedIn

Official Source

Official Source

LinkedIn is a Official Source. The source has been verified by Swipe Insight team.

Official Source
Google Lens adds screen search feature for iOS users and expands AI Overviews

Google Lens adds screen search feature for iOS users and expands AI Overviews

Google
Google

Official Source

Official Source

Google is a Official Source. The source has been verified by Swipe Insight team.

Official Source
Instagram Introduces New DM Features for Better Connections and Communication

Instagram Introduces New DM Features for Better Connections and Communication

Google Ads Launches AI-Powered Creative Using Imagen 3 Model Trending ️‍πŸ”₯

Google Ads Launches AI-Powered Creative Using Imagen 3 Model

Google
Google

Official Source

Official Source

Google is a Official Source. The source has been verified by Swipe Insight team.

Official Source
DV360 Announces Major API and Data Structure Updates for Spring 2025

DV360 Announces Major API and Data Structure Updates for Spring 2025

Google for Developers
Google for Developers

Official Source

Official Source

Google for Developers is a Official Source. The source has been verified by Swipe Insight team.

Official Source

Related Tools

Marketing Auditor logo

Marketing Auditor

Verified Tool

Verified Tool

Marketing Auditor is a Verified Tool. Want to get this badge? Contact us.

Verified Tool

Automated audits for Google Ads and Analytics.

Get Featured Here

Showcase your tool in this list.

Contact Us