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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Knowledge Bases for Amazon Bedrock allows you to build performant and customized Retrieval Augmented Generation (RAG) applications on top of AWS and third-party vector stores using both AWS and third-party models. If you want more control, Knowledge Bases lets you control the chunking strategy through a set of preconfigured options.

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Knowledge Bases in Amazon Bedrock now simplifies asking questions on a single document

AWS Machine Learning - AI

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG).

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Implementing Knowledge Bases for Amazon Bedrock in support of GDPR (right to be forgotten) requests

AWS Machine Learning - AI

FMs are trained on vast quantities of data, allowing them to be used to answer questions on a variety of subjects. Knowledge Bases for Amazon Bedrock is a fully managed RAG capability that allows you to customize FM responses with contextual and relevant company data. The following diagram depicts a high-level RAG architecture.

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AI Knowledge Management: How to Use Generative AI for Knowledge Bases

Ivanti

One area in which gains can be immediate: Knowledge management, which has traditionally been challenging for many organizations. However, AI-based knowledge management can deliver outstanding benefits – especially for IT teams mired in manually maintaining knowledge bases.

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Breach simulation startup AttackIQ raises $44M to fuel expansion

TechCrunch

Its Security Optimization Platform platform, which supports Windows, Linux and macOS across public, private and on-premises cloud environments, is based on the MITRE ATT&CK framework , a curated knowledge base of known adversary threats, tactics and techniques.

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Key takeaways for CIOs from AWS re:Invent 2024

CIO

Amazon SageMakers AI module also received cost-saving features, including SageMaker Hyperpods Flexible Training Plans and Task Governance. The new expanded capabilities for Q Developer include automating code reviews, unit tests, and generating documentation all of which are aimed at helping developers accelerate their tasks.

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Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails

AWS Machine Learning - AI

In this post, we demonstrate how to create an automated email response solution using Amazon Bedrock and its features, including Amazon Bedrock Agents , Amazon Bedrock Knowledge Bases , and Amazon Bedrock Guardrails. These indexed documents provide a comprehensive knowledge base that the AI agents consult to inform their responses.