Vector Database

December 3, 2025

Up to 12x Faster Vector Indexing in Elasticsearch with NVIDIA cuVS: GPU-acceleration Chapter 2

Discover how Elasticsearch achieves nearly 12x higher indexing throughput with GPU-accelerated vector indexing and NVIDIA cuVS.

Up to 12x Faster Vector Indexing in Elasticsearch with NVIDIA cuVS: GPU-acceleration Chapter 2
Multimodal search for mountain peaks with Elasticsearch and SigLIP-2

Multimodal search for mountain peaks with Elasticsearch and SigLIP-2

Learn how to implement text-to-image and image-to-image multimodal search using SigLIP-2 embeddings and Elasticsearch kNN vector search. Project focus: finding Mount Ama Dablam peak photos from an Everest trek.

Improving multilingual embedding model relevancy with hybrid search reranking

Improving multilingual embedding model relevancy with hybrid search reranking

Learn how to improve the relevancy of E5 multilingual embedding model search results using Cohere's reranker and hybrid search in Elasticsearch.

Low-memory benchmarking in DiskBBQ and HNSW BBQ

Low-memory benchmarking in DiskBBQ and HNSW BBQ

Benchmarking Elasticsearch latency, indexing speed, and memory usage for DiskBBQ and HNSW BBQ in low-memory environments.

Introducing a new vector storage format: DiskBBQ

Introducing a new vector storage format: DiskBBQ

Introducing DiskBBQ, an alternative to HNSW, and exploring when and why to use it.

Deploying a multilingual embedding model in Elasticsearch

Deploying a multilingual embedding model in Elasticsearch

Learn how to deploy an e5 multilingual embedding model for vector search and cross-lingual retrieval in Elasticsearch.

Using TwelveLabs’ Marengo video embedding model with Amazon Bedrock and Elasticsearch

September 19, 2025

Using TwelveLabs’ Marengo video embedding model with Amazon Bedrock and Elasticsearch

Creating a small app to search video embeddings from TwelveLabs' Marengo model.

Balancing the scales: Making reciprocal rank fusion (RRF) smarter with weights

September 15, 2025

Balancing the scales: Making reciprocal rank fusion (RRF) smarter with weights

Exploring weighted reciprocal rank fusion​ (RRF) in Elasticsearch and how it works through practical examples.

MCP for intelligent search

September 8, 2025

MCP for intelligent search

Building an intelligent search system by integrating Elastic's intelligent query layer with MCP to enhance the generative efficacy of LLMs.

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