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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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The importance of software documentation tools

Apiumhub

Software documentation tools are very important in software development. Software teams may refer to documentation when talking about product requirements, release notes, or design specs. They may use docs to detail code, APIs, and record their software development processes. It is like a compass for your team.

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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. The code and resources required for deployment are available in the amazon-bedrock-examples repository.

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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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Simplify data prep for generative AI with Amazon SageMaker Data Wrangler

AWS Machine Learning - AI

Data from social media, reviews, or any user generated contents can also contain toxic and biased contents, and you may need to filter them out using some pre-processing steps. Read and write access to an Amazon Simple Storage Service (Amazon S3) bucket. The choice of vector database is an important architectural decision.

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A Comprehensive Overview of Azure Chatbot Services

Exadel

In this article, we will review all Azure chatbot services and figure out how they can work together. Let’s review those options, so it’s easier to understand which is best suited for what cases. You don’t need to be a software developer to develop a chatbot! Azure Bot Service. Using Bot Framework SDK. Bot Framework Composer.

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Generate customized, compliant application IaC scripts for AWS Landing Zone using Amazon Bedrock

AWS Machine Learning - AI

Tools like Terraform and AWS CloudFormation are pivotal for such transitions, offering infrastructure as code (IaC) capabilities that define and manage complex cloud environments with precision. This is achieved by writing Terraform code within an application-specific repository.

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