Knowledge (Page 2)

In: Artificial Intelligence

Today, Amazon Web Services (AWS) announced the general availability of Amazon Bedrock Knowledge Bases GraphRAG (GraphRAG), a capability in Amazon Bedrock Knowledge Bases that enhances Retrieval-Augmented Generation (RAG) with graph data in Amazon Neptune Analytics. This capability enhances responses from generative AI applications by automatically creating embeddings for semantic searchContinue Reading

In: Artificial Intelligence

Amazon Bedrock Knowledge Bases offers a fully managed Retrieval Augmented Generation (RAG) feature that connects large language models (LLMs) to internal data sources. It’s a cost-effective approach to improving LLM output so it remains relevant, accurate, and useful in various contexts. It also provides developers with greater control over theContinue Reading

In: Artificial Intelligence

Large language models (LLMs) excel at generating human-like text but face a critical challenge: hallucination—producing responses that sound convincing but are factually incorrect. While these models are trained on vast amounts of generic data, they often lack the organization-specific context and up-to-date information needed for accurate responses in business settings.Continue Reading

In: Artificial Intelligence

In this new era of emerging AI technologies, we have the opportunity to build AI-powered assistants tailored to specific business requirements. Amazon Q Business, a new generative AI-powered assistant, can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in an enterprise’s systems. Large-scaleContinue Reading

In: Artificial Intelligence

Organizations are often inundated with video and audio content that contains valuable insights. However, extracting those insights efficiently and with high accuracy remains a challenge. This post explores an innovative solution to accelerate video and audio review workflows through a thoughtfully designed user experience that enables human and AI collaboration.Continue Reading

In: Artificial Intelligence

As enterprises rapidly expand their applications, platforms, and infrastructure, it becomes increasingly challenging to keep up with technology trends, best practices, and programming standards. Enterprises typically provide their developers, engineers, and architects with a variety of knowledge resources such as user guides, technical wikis, code repositories, and specialized tools. However,Continue Reading

In: Artificial Intelligence

Amazon Q Business can increase productivity across diverse teams, including developers, architects, site reliability engineers (SREs), and product managers. Amazon Q Business as a web experience makes AWS best practices readily accessible, providing cloud-centered recommendations quickly and making it straightforward to access AWS service functions, limits, and implementations. These elementsContinue Reading

In: Artificial Intelligence

Many enterprise customers across various industries are looking to adopt Generative AI to drive innovation, user productivity, and enhance customer experience. Generative AI–powered assistants such as Amazon Q Business can be configured to answer questions, provide summaries, generate content, and securely complete tasks based on data and information in yourContinue Reading

In: Artificial Intelligence

Enterprises are facing challenges in accessing their data assets scattered across various sources because of increasing complexities in managing vast amount of data. Traditional search methods often fail to provide comprehensive and contextual results, particularly for unstructured data or complex queries. Search solutions in modern big data management must facilitateContinue Reading