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Amazon Bedrock re:Invent 2024 Features Launch Summary

Amazon Bedrock re:Invent 2024 Features Launch Summary

The pace of Amazon Bedrock innovation is mind-boggling. To make it easier to go over all the features launched around re:Invent 2024 I compiled a list of launched features

bedrockgenaireinvent24reinvent
Yossi Lagstein
Amazon Employee
Published Dec 5, 2024
Last Modified Dec 7, 2024
Just over a year Amazon Bedrock was launched as GA service. Amazon Bedrock is a fully managed service that offers a choice of industry leading foundation models (FMs) along with a broad set of capabilities that you need to build generative AI application.
The pace of innovation is mind-boggling. To make it easier to go over all the features launched around re:Invent 2024 I compiled this list of launched features
  • LLMs
    • Announcing Amazon Nova foundation models available today in Amazon Bedrock – Announcement here, blog post here, documentation here
    • Amazon Bedrock Marketplace brings over 100 models to Amazon Bedrock – Announcement here
  • Knowledge Bases and RAG
    • Amazon Bedrock Knowledge Bases now supports structured data retrieval – Announcement here
    • Amazon Bedrock Knowledge Bases now supports GraphRAG (preview) - Announcement here, blog post here
    • Amazon Bedrock Knowledge Bases now processes multimodal data – Announcement here, blog post here
    • Amazon Bedrock Knowledge Bases now supports RAG evaluation (Preview) - Announcement here, blog post here
    • Amazon Bedrock Model Evaluation now includes LLM-as-a-judge (Preview) - Announcement here , blog post here
    • Amazon Bedrock Knowledge Bases now provides auto-generated query filters for improved retrieval - Announcement here
    • Amazon Bedrock Knowledge Bases now supports custom connectors and ingestion of streaming data - Announcement here, blog post here, documentation here
    • Amazon Bedrock Knowledge Bases now supports streaming responses - Announcement here, documentation here
    • Amazon Bedrock now supports Rerank API to improve accuracy of RAG applications - Announcement here , blog post here, documentation here
    • Amazon Aurora now available as a quick create vector store in Amazon Bedrock Knowledge Bases - Announcement here, blog post here
  • Guardrails
    • Amazon Bedrock Guardrails supports multimodal toxicity detection for image content (Preview) - Announcement here, blog post here
    • Amazon Bedrock Guardrails now supports Automated Reasoning checks (Preview) – Announcement here, blog post here
  • Agents
    • Amazon Bedrock now supports multi-agent collaboration - Announcement here
    • Amazon Bedrock Agents now supports custom orchestration - Announcement here, documentation here
    • Announcing InlineAgents for Agents for Amazon Bedrock - Announcement here,documentation here and here, code sample here
  • Prompt management and optimization
    • Amazon Bedrock announces preview of prompt caching – Announcement here , blog post here, documentation here
    • Amazon Bedrock Intelligent Prompt Routing is now available in preview – Announcement here, blog post here
    • Introducing Prompt Optimization in Preview in Amazon Bedrock – Announcement here, blog post here , documentation here
    • Amazon Bedrock Prompt Management is now generally available – Announcement here, blog post here , documentation here
  • General
    • Announcing new AWS AI Service Cards to advance responsible generative AI - Announcement here
    • Introducing latency-optimized inference for foundation models in Amazon Bedrock – Announcement here, documentation here
    • Amazon Bedrock Data Automation now available in preview - Announcement here
    • Amazon Bedrock Model Distillation is now available in preview - Announcement here, blog post here
    • Announcing Amazon Bedrock IDE in preview as part of Amazon SageMaker Unified Studio - Announcement here, documentation here
    • Amazon Bedrock Flows is now generally available with two new capabilities – Announcement here, blog post here , documentation here
       

Any opinions in this post are those of the individual author and may not reflect the opinions of AWS.

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