Boost OpenSearch vector search performance with Intel AVX-512
Introduced in OpenSearch 2.18, Intel Advanced Vector Extensions 512 (Intel AVX-512) is a set of new instructions that can accelerate vector workload performance.... Read more.
GPU-accelerated vector search in OpenSearch: A new frontier
OpenSearch’s adoption as a vector database has grown significantly with the rise of generative AI applications. Vector search workloads are scaling from millions... Read more.
Reduce costs with disk-based vector search
Vector search has gained significant attention in the area of information retrieval thanks to advances in natural language embedding models. These models map domain-specific... Read more.
Zero to RAG: A quick OpenSearch vector database and DeepSeek integration guide
OpenSearch now integrates with DeepSeek, offering powerful and cost-effective AI capabilities. In this blog post, we’ll guide you through setting up a retrieval-augmented... Read more.
Deep dive: Enabling pluggable storage in the OpenSearch vector engine
In 2019, OpenSearch introduced the Vector Engine, which supports three native engines: Non-Metric Space Library (NMSLIB), Facebook AI Similarity Search (Faiss),... Read more.
OpenSearch Project update: A look at performance progress through version 2.17
Our commitment to enhancing OpenSearch’s performance remains unwavering, and this blog post showcases the significant progress we’ve made. Recently, we’ve... Read more.
Introducing byte vector support for Faiss in the OpenSearch vector engine
The growing popularity of generative AI and large language models (LLMs) has led to an increased demand for efficient vector search and similarity operations. These... Read more.
Optimize your OpenSearch costs using binary vectors
Imagine the ability to search through hundreds of millions of high-dimensional vectors in a split second, all while using less storage and memory than ever before.... Read more.
Boosting k-NN exact search performance
Exact k-nearest neighbor (k-NN) search in OpenSearch allows you to define custom scoring functions to retrieve documents based on their proximity to a query vector.... Read more.
How sorting works in hybrid queries
Since the introduction of hybrid queries in OpenSearch 2.10, they have become increasingly popular among users who want to improve the relevance of their semantic... Read more.
