Blog

Tired of bloated RAG frameworks? Discover Shraga — a minimal, production-ready open-source alternative built by BigData Boutique to simplify and scale GenAI applications without the overhead.

Learn how to use OpenSearch as a vector database in this hands-on guide. Explore hybrid search, work with low-level APIs, and build vector-powered applications combining keyword and semantic search.

The Nested field type in Elasticsearch and OpenSearch is not as innocent as one would think. Let’s look at what they are used for, the challenges with them, and possible alternatives.

OpenSearch and Apache Solr are both built on top of Lucene, and being used globally by leading companes as a text and vector search engine. Which one you should pick?

A hands-on tutorial for building a semantic hybrid search application with Elasticsearch as a vector database.

Explaining how vector search work, benefits and use cases with Elasticsearch and OpenSearch.

In some cases a deep paginated search on an Elasticsearch or OpenSearch cluster is required. In this power tip we compare the various available options.

Vector Search with Elasticsearch can leverage the built-in ELSER image or vector embeddings generated by external models. What is the difference and which one is better?

In-depth comparison of project status, performance, vector search capabilities, and more between Elasticsearch and OpenSearch

As the OpenSearch project continues to evolve, it forges its own path by prioritizing features driven by the needs and feedback of its community and users. In this spirit of progress, we’ve highlighted the most significant improvements and advancements introduced in 2024.

What query limits exist for Elasticsearch and OpenSearch, and what you should know about them?

How to migrate from Elasticsearch to OpenSearch? How to achieve full and smooth migraiton with minimal or zero downtime.

Explore how Pulse simplifies Elasticsearch and OpenSearch management with its launch on AWS Marketplace. Gain insights into how Pulse delivers automated optimizations, cost savings, and peak performance, making cluster management effortless for businesses of any scale.

Explore essential strategies to optimize Elasticsearch performance and cost efficiency. Learn best practices for cluster scaling, data tiering, and monitoring for both Elastic Cloud and on-premises deployments.

In this blog post, we'll review the available ways to monitor your Amazon OpenSearch Service cluster, aiming to offer a comprehensive guide to help you choose the perfect tool.

In today’s competitive digital marketplace, delivering a great search experience is key. This blog shares how we used Amazon OpenSearch and Amazon Bedrock to enhance a customer’s search functionality, including using a large language model (LLM) to improve synonym expansion.

This post explores how semantic search – powered by large multi-modal models and Amazon OpenSearch Service – can significantly enhance image retrieval accuracy and relevance.

Today marks a special day for our team at BigData Boutique as we proudly launch Pulse, our groundbreaking solution for proactive Elasticsearch and OpenSearch cluster management. Pulse embodies our commitment to doing Elasticsearch and OpenSearch operations right, and we can't wait to share it.

Elasticsearch Data Streams provide powerful ways to manage time series data and other types of append-only data.

In Elasticsearch and OpenSearch, caching plays a fundamental role in performance tuning.