Compare AWS vector store options for RAG, including OpenSearch, S3 Vectors, Aurora pgvector, and more. This guide breaks down Bedrock Knowledge Bases integrations and custom pipeline approaches to help you choose the right solution based on latency, cost, and architecture.
In this lab, we will create a Kafka producer application using AWS Lambda, which sends fake taxi ride data into a Kafka topic on Amazon MSK. A configurable number of the producer Lambda function will be invoked by an Amazon EventBridge schedule rule. Therefore, we are able to generate test data concurrently based on the desired volume of messages.
In this lab, we will create a Kafka producer application using AWS Lambda, which sends fake taxi ride data into a Kafka topic on Amazon MSK. A configurable number of the producer Lambda function will be invoked by an Amazon EventBridge schedule rule. Therefore, we are able to generate test data concurrently based on the desired volume of messages.
This blog explores how we can use vector databases to keep LLM knowledge up to date, minimise hallucinations and enhance user experiences.
In this blog, we explore the transformative power of modern data solutions, and the benefits they can provide organisations.
In this blog, Rene Essomba provides an exploration of vector databases, a type of NoSQL database designed to handle large and complex data types effectively.
