Author: Jagadish Kumar

In this post, we demonstrate how to use the OpenSearch Ingestion’s Lambda processor to generate embeddings for your source data and ingest them to an OpenSearch Serverless vector collection. This solution uses the flexibility of OpenSearch Ingestion pipelines with a Lambda processor to dynamically generate embeddings.

Today we announced support for three new features for Amazon OpenSearch Serverless: Point in Time (PIT) search, which enables you to maintain stable sorting for deep pagination in the presence of updates, and PPL and SQL, which give you new ways to query your data. In this post, we discuss the benefits of these new features and how to get started.

We’re thrilled to announce the launch of the official Amazon OpenSearch Service YouTube channel—a comprehensive resource for anyone looking to master Amazon OpenSearch Service. Whether you’re just getting started with searches , vectors, analytics, or you’re looking to optimize large-scale implementations, our channel can be your go-to resource to help you unlock the full potential of OpenSearch Service.

Amazon OpenSearch Ingestion is a fully managed serverless pipeline that allows you to ingest, filter, transform, enrich, and route data to an Amazon OpenSearch Service domain or Amazon OpenSearch Serverless collection. OpenSearch Ingestion is capable of ingesting data from a wide variety of sources and has a rich ecosystem of built-in processors to take care […]

Organizations often need to manage a high volume of data that is growing at an extraordinary rate. At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, […]

This post is co-written by Lisa Levy, Content Specialist at Satori. Data democratization enables users to discover and gain access to data faster, improving informed data-driven decisions and using data to generate business impact. It also increases collaboration across teams and organizations, breaking down data silos and enabling cross-functional teams to work together more effectively. […]

Amazon Redshift is a fast, fully-managed, petabyte scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. Using Amazon Redshift Serverless and Query Editor v2, you can load and query large datasets in just a few clicks and pay only for what you use. The decoupled compute and […]

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. With real-time information about customers, products, and applications in hand, organizations can take action as events happen in their business application. For example, you can prevent financial fraud, deliver personalized offers, and […]