This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
In this post, we guide you through integrating Amazon Bedrock Agents with enterprise data APIs to create more personalized and effective customer support experiences. An automotive retailer might use inventory management APIs to track stock levels and catalog APIs for vehicle compatibility and specifications.
Amazon Bedrock announces the preview launch of Session Management APIs, a new capability that enables developers to simplify state and context management for generative AI applications built with popular open source frameworks such as LangGraph and LlamaIndex. Building generative AI applications requires more than model API calls.
The custom Google Chat app, configured for HTTP integration, sends an HTTP request to an API Gateway endpoint. Before processing the request, a Lambda authorizer function associated with the API Gateway authenticates the incoming message. The following figure illustrates the high-level design of the solution.
It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. API Gateway also provides a WebSocket API. Incoming requests to the gateway go through this point.
Prerequisites Before creating your application in Amazon Bedrock IDE, you’ll need to set up a few resources in your AWS account. This includes setting up Amazon API Gateway , AWS Lambda functions, and Amazon Athena to enable querying the structured sales data. Navigate to the AWS Secrets Manager console and find the secret -api-keys.
Events are everywhere! The software development world has realized the benefits of modeling our business processes and application logic as a log of events. When we speak to subject matter experts, we naturally use events to describe business scenarios. Luckily for us, Vonage has a fantastic API for tracking phone calls !
Amazon Bedrock Flows offers an intuitive visual builder and a set of APIs to seamlessly link foundation models (FMs), Amazon Bedrock features, and AWS services to build and automate user-defined generative AI workflows at scale. Test the flow Youre now ready to test the flow through the Amazon Bedrock console or API.
Note that these APIs use objects as namespaces, alleviating the need for explicit imports. API Gateway supports multiple mechanisms for controlling and managing access to an API. AWS Lambda handles the REST API integration, processing the requests and invoking the appropriate AWS services.
From gaming and entertainment to education and corporate events, live streams have become a powerful medium for real-time engagement and content consumption. Interactions with Amazon Bedrock are handled by a Lambda function, which implements the application logic underlying an API made available using API Gateway.
The Vonage Voice API WebSockets feature recently left Beta status and became generally available. Vonage APIAccount. To complete this tutorial, you will need a Vonage APIaccount. Once you have an account, you can find your API Key and API Secret at the top of the Vonage API Dashboard.
The new ApplyGuardrail API enables you to assess any text using your preconfigured guardrails in Amazon Bedrock, without invoking the FMs. In this post, we demonstrate how to use the ApplyGuardrail API with long-context inputs and streaming outputs. For example, you can now use the API with models hosted on Amazon SageMaker.
In the event of a Regional outage or disruption, you can swiftly redirect your bot traffic to a different Region. Enabling Global Resiliency for an Amazon Lex bot is straightforward using the AWS Management Console , AWS Command Line Interface (AWS CLI), or APIs. We walk through the instructions to replicate the bot later in this post.
This post shows how companies can introduce hundreds of employees to ML concepts by easily running AWS DeepRacer events at scale. Run AWS DeepRacer events at scale. Our post-event statistics indicate that up to 75% of all participants to DeepRacer events are new to AI/ML and 50% are new to AWS.”.
These steps might involve both the use of an LLM and external data sources and APIs. Agent plugin controller This component is responsible for the API integration to external data sources and APIs. The LLM agent is an orchestrator of a set of steps that might be necessary to complete the desired request.
The embedding model, which is hosted on the same EC2 instance as the local LLM API inference server, converts the text chunks into vector representations. The prompt is forwarded to the local LLM API inference server instance, where the prompt is tokenized and is converted into a vector representation using the local embedding model.
Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. In this post, we demonstrate how to use Amazon Bedrock Agents with a web search API to integrate dynamic web content in your generative AI application.
So much exposure naturally brings added risks like account takeover (ATO). Each year, bad actors compromise billions of accounts through stolen credentials, phishing, social engineering, and multiple forms of ATO. To put it into perspective: account takeover fraud increased by 90% to an estimated $11.4 Overview of solution.
Solution overview Our solution implements a verified semantic cache using the Amazon Bedrock Knowledge Bases Retrieve API to reduce hallucinations in LLM responses while simultaneously improving latency and reducing costs. The function checks the semantic cache (Amazon Bedrock Knowledge Bases) using the Retrieve API.
Step Functions orchestrates AWS services like AWS Lambda and organization APIs like DataStore to ingest, process, and store data securely. For example, the Datastore API might require certain input like date periods to query data. Full Macie finding event: {. } The fetched data is put into an S3 data store bucket for processing.
This is the sixth tutorial on how to use Voice APIs with ASP.NET series. A Nexmo account, which you can sign up for here. To use The Nexmo Voice API , we need to create a voice application. The configuration steps are detailed in the Nexmo Voice API with ASP.NET: Before you start post. API References and Tools.
This is the sixth tutorial on how to use Voice APIs with ASP.NET series. A Nexmo account, which you can sign up for here. To use The Nexmo Voice API , we need to create a voice application. The configuration steps are detailed in the Nexmo Voice API with ASP.NET: Before you start post. API References and Tools.
SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM).
These articles show you how to get started with Nexmo APIs like SMS, Voice and Verify, so feel free to refer back to them as you go, or in case you’d like to add another functionality. A Nexmo account — create one for free if you haven’t already. Go to your dashboard to find your API key and secret and make a note of them.
Online fraud has a widespread impact on businesses and requires an effective end-to-end strategy to detect and prevent new account fraud and account takeovers, and stop suspicious payment transactions. Example use cases for this could be payment processing or high-volume account creation.
In this walkthrough, we are going to create a Ruby on Rails conference call application that utilizes the Nexmo Voice API. To work through this tutorial, you will need a Nexmo account. Set up our Nexmo account, purchase a Nexmo phone number, and create a Nexmo Voice application. to_json end def event end end.
In this walkthrough, we are going to create a Ruby on Rails conference call application that utilizes the Nexmo Voice API. To work through this tutorial, you will need a Nexmo account. Set up our Nexmo account, purchase a Nexmo phone number, and create a Nexmo Voice application. to_json end def event end end.
We use various AWS services to deploy a complete solution that you can use to interact with an API providing real-time weather information. We also use identity pool to provide temporary AWS credentials for the user while they interact with Amazon Bedrock API. In this solution, we use Amazon Bedrock Agents.
They often find themselves struggling with language barriers when it comes to setting up reminders for events like business gatherings and customer meetings. The original message ( example in Norwegian ) is sent to a Step Functions state machine using API Gateway. Generate an action plan list for events.
The implementation uses Slacks event subscription API to process incoming messages and Slacks Web API to send responses. The incoming event from Slack is sent to an endpoint in API Gateway, and Slack expects a response in less than 3 seconds, otherwise the request fails.
The application uses event-driven architecture (EDA), a powerful software design pattern that you can use to build decoupled systems by communicating through events. The event starts an AWS Step Functions workflow. Detect if the review content has any harmful information using the Amazon Comprehend DetectToxicContent API.
Handling Basic Inquiries : Chat GPT can assist with basic inquiries such as order status, account information, shipping details, or product specifications. For access to the entire recorded Town Hall event, please visit CCNG.com, On-Demand Webinars.
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.
Amazon Rekognition has two sets of APIs that help you moderate images or videos to keep digital communities safe and engaged. Some customers have asked if they could use this approach to moderate videos by sampling image frames and sending them to the Amazon Rekognition image moderation API.
At events I’ve run in the past, a phone number has been one way provided to attendees—they can either call or text the number and it forwards on to several organizers who have the responsibility to be available to deal with any issues. A Vonage APIaccount – take note of your API Key & Secret on the dashboard.
Agent Creator is a versatile extension to the SnapLogic platform that is compatible with modern databases, APIs, and even legacy mainframe systems, fostering seamless integration across various data environments. The integration with Amazon Bedrock is achieved through the Amazon Bedrock InvokeModel APIs.
Amazon Bedrock , a fully managed service offering high-performing foundation models from leading AI companies through a single API, has recently introduced two significant evaluation capabilities: LLM-as-a-judge under Amazon Bedrock Model Evaluation and RAG evaluation for Amazon Bedrock Knowledge Bases.
You receive results through an API and pay only for what you use, with no minimum fees or upfront commitments. Solution overview The real-time personalized recommendations solution is implemented using Amazon Personalize , Amazon Simple Storage Service (Amazon S3) , Amazon Kinesis Data Streams , AWS Lambda , and Amazon API Gateway.
Vonage APIAccount. To complete this tutorial, you will need a Vonage APIaccount. Once you have an account, you can find your API Key and API Secret at the top of the Vonage API Dashboard. React has its SyntheticEvent instance that is a wrapper around a browser’s native event.
The S3 bucket is configured using event notification. The Amazon Bedrock API returns the output Q&A JSON file to the Lambda function. The container image sends the REST API request to Amazon API Gateway (using the GET method). API Gateway communicates with the TakeExamFn Lambda function as a proxy.
Add team members using their email addresses—they will receive instructions to set up their accounts. Programmatic setup Alternatively, you can create your labeling job programmatically using the CreateLabelingJob API. On the SageMaker console, choose Labeling workforces. val(option).text(option)); append(qualityCheck).append(qualityLabel));
The Slack application sends the event to Amazon API Gateway , which is used in the event subscription. API Gateway forwards the event to an AWS Lambda function. If you don’t have an AWS account, see How do I create and activate a new Amazon Web Services account? Toggle Enable Events on.
Cloud providers have recognized the need to offer model inference through an API call, significantly streamlining the implementation of AI within applications. Although a single API call can address simple use cases, more complex ones may necessitate the use of multiple calls and integrations with other services.
Deploy the API to make predictions. Prerequisites The following are prerequisite steps for this solution: Sign up for an AWS account. Set up permissions that allows your AWS account to access Amazon Fraud Detector. Under Event type details , enter docfraud as the event type name and, optionally, enter a description of the event.
The excitement is building for the fourteenth edition of AWS re:Invent, and as always, Las Vegas is set to host this spectacular event. Learn how they created specialized agents for different tasks like account management, repos, pipeline management, and more to help their developers go faster.
We organize all of the trending information in your field so you don't have to. Join 34,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content