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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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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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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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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.

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning - AI

It provides a modular and flexible framework for combining LLMs with other components, such as knowledge bases, retrieval systems, and other AI tools, to create powerful and customizable applications. They have expanded their offerings to include Windows, monitoring, load balancing, auto-scaling, and persistent storage.

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Top 13 GitHub Alternatives in 2020 [Free and Paid]

Codegiant

You can download either a GitHub Mac or Windows version. It’s worth noting that GitLab supports macOS, Linux, iOS, Android, except for its Windows clients. Based on the Acceptable Use Policy , Microsoft Windows operating systems are not permitted with GitLab. Knowledge bases and FAQs. Debug in production?—?Google

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BitBucket vs GitHub?—?The Complete Review [2020]

Codegiant

Native GitHub Windows and Mac desktop applications. Integrations with other great tools like Asana , Zendesk, CloudBees, Travis, CodeClimate, AWS, Windows Azure, Google Cloud, and Heroku. Bitbucket desktop Mac and Windows client called SourceTree; BitBucket app for Android devices named BitBeaker. Knowledge bases and FAQs.