Lambda Scalability 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. This hybrid approach combines the scalability and flexibility of semantic search with the precision and context-awareness of classifier LLMs.
AWS Machine Learning - AI
MARCH 13, 2025
Much like traditional business process automation through technology, the agentic AI architecture is the design of AI systems designed to resolve complex problems with limited or indirect human intervention. Conversely, asynchronous event-driven systems offer greater flexibility and scalability through their distributed nature.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
AWS Machine Learning - AI
JULY 10, 2024
Now that you understand the concepts for semantic and hierarchical chunking, in case you want to have more flexibility, you can use a Lambda function for adding custom processing logic to chunks such as metadata processing or defining your custom logic for chunking. Make sure to create the Lambda layer for the specific open source framework.
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.
AWS Machine Learning - AI
JULY 3, 2024
The solution has been designed using the following services: Amazon Elastic Container Service (ECS) : to deploy and manage our Streamlit UI. Amazon Lambda : to run the backend code, which encompasses the generative logic. In step 5, the lambda function triggers the Amazon Textract to parse and extract data from pdf documents.
AWS Machine Learning - AI
JULY 15, 2024
S3, in turn, provides efficient, scalable, and secure storage for the media file objects themselves. The inference pipeline is powered by an AWS Lambda -based multi-step architecture, which maximizes cost-efficiency and elasticity by running independent image analysis steps in parallel.
Confluent
FEBRUARY 27, 2019
Given that it is at a relatively early stage, developers are still trying to grok the best approach for each cloud vendor and often face the following question: Should I go cloud native with AWS Lambda, GCP functions, etc., The key to event-first systems design is understanding that a series of events captures behavior.
Expert insights. Personalized for you.
108 
Let's personalize your content