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Amazon Bedrock Knowledge Bases offers a fully managed Retrieval Augmented Generation (RAG) feature that connects large language models (LLMs) to internal data sources. This feature enhances foundation model (FM) outputs with contextual information from private data, making responses more relevant and accurate. At AWS re:Invent 2024, we announced Amazon Bedrock Knowledge Bases support for natural …

Query Amazon Aurora PostgreSQL using Amazon Bedrock Knowledge Bases structured data Read More »

Enterprises adopting advanced AI solutions recognize that robust security and precise access control are essential for protecting valuable data, maintaining compliance, and preserving user trust. As organizations expand AI usage across teams and applications, they require granular permissions to safeguard sensitive information and manage who can access powerful models. Amazon SageMaker Unified Studio addresses these …

Configure fine-grained access to Amazon Bedrock models using Amazon SageMaker Unified Studio Read More »

Many enterprises are using large language models (LLMs) in Amazon Bedrock to gain insights from their internal data sources. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, …

Improve conversational AI response times for enterprise applications with the Amazon Bedrock streaming API and AWS AppSync Read More »

Generative AI continues to reshape how businesses approach innovation and problem-solving. Customers are moving from experimentation to scaling generative AI use cases across their organizations, with more businesses fully integrating these technologies into their core processes. This evolution spans across lines of business (LOBs), teams, and software as a service (SaaS) providers. Although many AWS …

Scale generative AI use cases, Part 1: Multi-tenant hub and spoke architecture using AWS Transit Gateway Read More »

We’re bringing new AI capabilities to Circle to Search, so you can dive deeper and ask follow-ups in AI Mode, and get gaming tips. ​ 

Cosmetics company Lush is embracing Google Cloud AI to improve how they work. ​ 

Today, we’re excited to announce a significant improvement to the developer experience of Amazon Bedrock: API keys. API keys provide quick access to the Amazon Bedrock APIs, streamlining the authentication process so that developers can focus on building rather than configuration. CamelAI is an open-source, modular framework for building intelligent multi-agent systems for data generation, …

Accelerate AI development with Amazon Bedrock API keys Read More »

The world’s population is expanding at a rapid rate. The growing global population requires innovative solutions to produce food, fiber, and fuel, while restoring natural resources like soil and water and addressing climate change. Bayer Crop Science estimates farmers need to increase crop production by 50% by 2050 to meet these demands. To support their …

Accelerating data science innovation: How Bayer Crop Science used AWS AI/ML services to build their next-generation MLOps service Read More »

Financial fraud detection isn’t just important to banks—it’s essential. With global fraud losses surpassing $40 billion annually and sophisticated criminal networks constantly evolving their tactics, financial institutions face an increasingly complex threat landscape. Today’s fraud schemes operate across multiple accounts, institutions, and channels, creating intricate webs designed specifically to evade detection systems. Financial institutions have …

Combat financial fraud with GraphRAG on Amazon Bedrock Knowledge Bases Read More »

In this post, we demonstrate how to build an end-to-end solution for text classification using the Amazon Bedrock batch inference capability with the Anthropic’s Claude Haiku model. Amazon Bedrock batch inference offers a 50% discount compared to the on-demand price, which is an important factor when dealing with a large number of requests. We walk …

Classify call center conversations with Amazon Bedrock batch inference Read More »