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Oracle makes its pitch for the enterprise cloud. Should CIOs listen?

CIO

This technology, leveraging artificial intelligence, offers a self-managing, self-securing, and self-repairing database system that significantly reduces the operational overhead for businesses.” The allure of such a system for enterprises cannot be overstated, Lee says.

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Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

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.

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Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

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. Knowledge Bases for Amazon Bedrock provides fully managed RAG to supply the agent with access to your data.

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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Generative artificial intelligence (AI) has gained significant momentum with organizations actively exploring its potential applications. This post explores the new enterprise-grade features for Knowledge Bases on Amazon Bedrock and how they align with the AWS Well-Architected Framework.

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Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat

AWS Machine Learning - AI

RAG allows models to tap into vast knowledge bases and deliver human-like dialogue for applications like chatbots and enterprise search assistants. Download press releases to use as our external knowledge base. Query the knowledge base. Deploy an embedding model from the Amazon SageMaker JumpStart hub.

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Announcing Cloudera’s Enterprise Artificial Intelligence Partnership Ecosystem

Cloudera

Cloudera is launching and expanding partnerships to create a new enterprise artificial intelligence “AI” ecosystem. In the AMP, Pinceone’s vector database uses these knowledge bases to imbue context into chatbot responses, ensuring useful outputs.

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Build a contextual chatbot for financial services using Amazon SageMaker JumpStart, Llama 2 and Amazon OpenSearch Serverless with Vector Engine

AWS Machine Learning - AI

The LLM generated text, and the IR system retrieves relevant information from a knowledge base. We also use Vector Engine for Amazon OpenSearch Serverless (currently in preview) as the vector data store to store embeddings. An OpenSearch Serverless collection. Store the document embedding in OpenSearch Serverless.