Lambda System System Design 
AWS Machine Learning - AI
APRIL 9, 2025
For instance, consider an AI-driven legal document analysis system designed for businesses of varying sizes, offering two primary subscription tiers: Basic and Pro. It also allows for a flexible and modular design, where new LLMs can be quickly plugged into or swapped out from a UI component without disrupting the overall system.
AWS Machine Learning - AI
NOVEMBER 19, 2024
Solution overview This section outlines the architecture designed for an email support system using generative AI. High Level System Design The solution consists of the following components: Email service – This component manages incoming and outgoing customer emails, serving as the primary interface for email communications.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
AWS Machine Learning - AI
MARCH 13, 2025
Alternatively, asynchronous choreography follows an event-driven pattern where agents operate autonomously, triggered by events or state changes in the system. These systems are composed of multiple AI agents that converse with each other or execute complex tasks through a series of choreographed or orchestrated processes.
AWS Machine Learning - AI
MAY 1, 2025
Organizations implementing agents and agent-based systems often experience challenges such as implementing multiple tools, function calling, and orchestrating the workflows of the tool calling. MCP overcomes these limitations by establishing a standardized client-server architecture specifically designed for efficient and secure integration.
AWS Machine Learning - AI
JULY 3, 2024
The system is built upon Amazon Bedrock and leverages LLM capabilities to generate curated medical content for disease awareness. For this reason, our system has been augmented with additional guardrails for fact-checking and rules evaluation. Amazon Lambda : to run the backend code, which encompasses the generative logic.
AWS Machine Learning - AI
JULY 10, 2024
Parsing documents is important for RAG applications because it enables the system to understand the structure and context of the information contained within the documents. In the next section, we discuss custom processing using Lambda function provided by Knowledge bases for Amazon Bedrock.
AWS Machine Learning - AI
MARCH 7, 2025
During the solution design process, Verisk also considered using Amazon Bedrock Knowledge Bases because its purpose built for creating and storing embeddings within Amazon OpenSearch Serverless. In the future, Verisk intends to use the Amazon Titan Embeddings V2 model. The user can pick the two documents that they want to compare.
Expert insights. Personalized for you.
129 
Let's personalize your content