Bedrock

Integrate Amazon Bedrock Knowledge Bases with Microsoft SharePoint as a data source | Amazon Web Services

Amazon Bedrock Knowledge Bases provides foundation models (FMs) and agents in Amazon Bedrock contextual information from your company’s private data sources for Retrieval Augmented Generation (RAG) to deliver more relevant, accurate, and customized responses. Amazon Bedrock Knowledge Bases offers a fully managed RAG experience. The data sources that can beContinue Reading

Revolutionize logo design creation with Amazon Bedrock: Embracing generative art, dynamic logos, and AI collaboration | Amazon Web Services

In: Artificial Intelligence

In the field of technology and creative design, logo design and creation has adapted and evolved at a rapid pace. From the hieroglyphs of ancient Egypt to the sleek minimalism of today’s tech giants, the visual identities that define our favorite brands have undergone a remarkable transformation. Today, the worldContinue Reading

Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows | Amazon Web Services

In: Artificial Intelligence

Personalization has become a cornerstone of delivering tangible benefits to businesses and their customers. Generative AI and large language models (LLMs) offer new possibilities, although some businesses might hesitate due to concerns about consistency and adherence to company guidelines. This post presents an automated personalization solution that balances the innovativeContinue Reading

Build RAG-based generative AI applications in AWS using Amazon FSx for NetApp ONTAP with Amazon Bedrock | Amazon Web Services

In: Artificial Intelligence

The post is co-written with Michael Shaul and Sasha Korman from NetApp. Generative artificial intelligence (AI) applications are commonly built using a technique called Retrieval Augmented Generation (RAG) that provides foundation models (FMs) access to additional data they didn’t have during training. This data is used to enrich the generativeContinue Reading

Unlock AWS Cost and Usage insights with generative AI powered by Amazon Bedrock | Amazon Web Services

In: Artificial Intelligence

Managing cloud costs and understanding resource usage can be a daunting task, especially for organizations with complex AWS deployments. AWS Cost and Usage Reports (AWS CUR) provides valuable data insights, but interpreting and querying the raw data can be challenging. In this post, we explore a solution that uses generativeContinue Reading

Streamline workflow orchestration of a system of enterprise APIs using chaining with Amazon Bedrock Agents | Amazon Web Services

In: Artificial Intelligence

Intricate workflows that require dynamic and complex API orchestration can often be complex to manage. In industries like insurance, where unpredictable scenarios are the norm, traditional automation falls short, leading to inefficiencies and missed opportunities. With the power of intelligent agents, you can simplify these challenges. In this post, weContinue Reading

Enabling complex generative AI applications with Amazon Bedrock Agents | Amazon Web Services

In: Artificial Intelligence

In June, I started a series of posts that highlight the key factors that are driving customers to choose Amazon Bedrock. The first covered building generative AI apps securely with Amazon Bedrock, while the second explored building custom generative AI applications with Amazon Bedrock. Now I’d like to take aContinue Reading

Exploring data using AI chat at Domo with Amazon Bedrock | Amazon Web Services

In: Artificial Intelligence

This post is co-written with Joe Clark from Domo. Data insights are crucial for businesses to enable data-driven decisions, identify trends, and optimize operations. Traditionally, gaining these insights required skilled analysts using specialized tools, which can make the process slow and less accessible. Generative artificial intelligence (AI) has revolutionized thisContinue Reading

Build powerful RAG pipelines with LlamaIndex and Amazon Bedrock | Amazon Web Services

In: Artificial Intelligence

This post was co-written with Jerry Liu from LlamaIndex. Retrieval Augmented Generation (RAG) has emerged as a powerful technique for enhancing the capabilities of large language models (LLMs). By combining the vast knowledge stored in external data sources with the generative power of LLMs, RAG enables you to tackle complexContinue Reading

Evaluating prompts at scale with Prompt Management and Prompt Flows for Amazon Bedrock | Amazon Web Services

In: Artificial Intelligence

As generative artificial intelligence (AI) continues to revolutionize every industry, the importance of effective prompt optimization through prompt engineering techniques has become key to efficiently balancing the quality of outputs, response time, and costs. Prompt engineering refers to the practice of crafting and optimizing inputs to the models by selectingContinue Reading