Remove AWS Remove Lambda Remove Open Source Remove Reference
article thumbnail

AWS Open Source Observability – Amazon Neptune and Security Graphs (Part 2)

Xebia

Amazon Neptune is a managed graph database service offered by AWS. Setting up the environment in AWS This walkthrough assumes you are familiar with networking in AWS and can set up the corresponding ACLs, Route tables, and Security Groups for VPC/Regional reachability. aws/config ).

article thumbnail

CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

AWS Machine Learning - AI

Because Amazon Bedrock is serverless, you don’t have to manage infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. AWS Prototyping developed an AWS Cloud Development Kit (AWS CDK) stack for deployment following AWS best practices.

AWS 93
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

High-performance computing on AWS

Xebia

How does High-Performance Computing on AWS differ from regular computing? HPC services on AWS Compute Technically you could design and build your own HPC cluster on AWS, it will work but you will spend time on plumbing and undifferentiated heavy lifting. AWS has two services to support your HPC workload.

AWS 147
article thumbnail

Automatically deploy REST APIs with Lambda authorizers using AWS CDK

CircleCI

This tutorial covers: Creating a new AWS CDK application. Adding a Lambda authorizer and defining CDK constructs. You can also learn how to automate AWS Lambda function deployments to AWS CDK. The AWS CDK framework provides libraries in most of the popular programming languages for all the major AWS services.

Lambda 52
article thumbnail

Boost employee productivity with automated meeting summaries using Amazon Transcribe, Amazon SageMaker, and LLMs from Hugging Face

AWS Machine Learning - AI

Solution overview The entire infrastructure of the solution is provisioned using the AWS Cloud Development Kit (AWS CDK), which is an infrastructure as code (IaC) framework to programmatically define and deploy AWS resources. AWS CDK version 2.0

article thumbnail

Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock

AWS Machine Learning - AI

Because Amazon Bedrock is serverless, you don’t have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. You can deploy the solution in your own account using the AWS CDK.

Lambda 123
article thumbnail

Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

For more details, refer to the Primer on Retrieval Augmented Generation, Embeddings, and Vector Databases section in Preview – Connect Foundation Models to Your Company Data Sources with Agents for Amazon Bedrock. For more information, refer to Model access. This is a one-time action and takes less than a minute.