Category: Amazon OpenSearch Service

AVB Marketing delivers custom digital solutions for their members across a wide range of products. LINQ, AVB’s proprietary product information management system, empowers their appliance, consumer electronics, and furniture retailer members to streamline the management of their product catalog. In this post, we share how AVB reduced their average search time from 3 seconds to 300 milliseconds in LINQ by adopting Amazon OpenSearch Service while processing 14.5 million record updates daily.

Today, we are announcing the general availability of Amazon DocumentDB (with MongoDB compatibility) zero-ETL integration with Amazon OpenSearch Service. Amazon DocumentDB provides native text search and vector search capabilities. With Amazon OpenSearch Service, you can perform advanced search analytics, such as fuzzy search, synonym search, cross-collection search, and multilingual search, on Amazon DocumentDB data. Zero-ETL […]

In today’s data-driven landscape, managing and analyzing vast amounts of data, especially logs, is crucial for organizations to derive insights and make informed decisions. However, handling this data efficiently presents a significant challenge, prompting organizations to seek scalable solutions without the complexity of infrastructure management. Amazon OpenSearch Serverless lets you run OpenSearch in the AWS […]

Amazon OpenSearch Service recently introduced the OpenSearch Optimized Instance family (OR1), which delivers up to 30% price-performance improvement over existing memory optimized instances in internal benchmarks, and uses Amazon Simple Storage Service (Amazon S3) to provide 11 9s of durability. With this new instance family, OpenSearch Service uses OpenSearch innovation and AWS technologies to reimagine […]

Amazon OpenSearch Service is an Apache-2.0-licensed distributed search and analytics suite offered by AWS. This fully managed service allows organizations to secure data, perform keyword and semantic search, analyze logs, alert on anomalies, explore interactive log analytics, implement real-time application monitoring, and gain a more profound understanding of their information landscape. OpenSearch Service provides the […]

This post explains the internals of hybrid search and how to build a hybrid search solution using OpenSearch Service. We experiment with sample queries to explore and compare lexical, semantic, and hybrid search. All the code used in this post is publicly available in the GitHub repository.

2023 was been a busy year for Amazon OpenSearch Service! Learn more about the releases that OpenSearch Service launched in the first half of 2023. In the second half of 2023, OpenSearch Service added the support of two new OpenSearch versions: 2.9 and 2.11 These two versions introduce new features in the search space, machine […]

For building any generative AI application, enriching the large language models (LLMs) with new data is imperative. This is where the Retrieval Augmented Generation (RAG) technique comes in. RAG is a machine learning (ML) architecture that uses external documents (like Wikipedia) to augment its knowledge and achieve state-of-the-art results on knowledge-intensive tasks. For ingesting these […]

Unsupervised machine learning analytics has emerged as a powerful tool for anomaly detection in today’s data-rich landscape, especially with the growing volume of machine-generated data. In-stream anomaly detection offers real-time insights into data anomalies, enabling proactive response. Amazon OpenSearch Serverless focuses on delivering seamless scalability and management of search workloads; Amazon OpenSearch Ingestion complements this […]

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, […]