AWS Machine Learning - AI
FEBRUARY 29, 2024
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.
AWS Machine Learning - AI
FEBRUARY 19, 2024
One way to enable more contextual conversations is by linking the chatbot to internal knowledge bases and information systems. Integrating proprietary enterprise data from internal knowledge bases enables chatbots to contextualize their responses to each user’s individual needs and interests.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
AWS Machine Learning - AI
APRIL 23, 2024
However, to unlock the long-term success and viability of these AI-powered solutions, it is crucial to align them with well-established architectural principles. This post explores the new enterprise-grade features for Knowledge Bases on Amazon Bedrock and how they align with the AWS Well-Architected Framework.
AWS Machine Learning - AI
FEBRUARY 8, 2024
You can now use Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock to configure specialized agents that seamlessly run actions based on natural language input and your organization’s data. The following diagram illustrates the solution architecture. The following are some example prompts: Create a new claim.
Tenable
DECEMBER 8, 2022
At the root of many of the DevSecOps challenges highlighted in the SANS report is the increasingly hybrid, multi-cloud nature of organizations’ IT environments, where applications are “more than ever” being hosted on-premises and in multiple cloud platforms using virtual machines, containers and serverless functions. in 2021 to 18.4%
AWS Machine Learning - AI
APRIL 8, 2024
RAG allows models to tap into vast knowledge bases and deliver human-like dialogue for applications like chatbots and enterprise search assistants. Solution overview In this post, we demonstrate how to create a RAG-based application using LlamaIndex and an LLM. Download press releases to use as our external knowledge base.
AWS Machine Learning - AI
NOVEMBER 22, 2023
The LLM generated text, and the IR system retrieves relevant information from a knowledge base. In this post, we explore building a contextual chatbot for financial services organizations using a RAG architecture with the Llama 2 foundation model and the Hugging Face GPTJ-6B-FP16 embeddings model, both available in SageMaker JumpStart.
Expert insights. Personalized for you.
105 
Let's personalize your content