Category: Vector Database
Articles tagged Vector Database
Comparing dense vector search performance with the Profile API in Elasticsearch
Learn how to use the Profile API in Elasticsearch to compare dense vector configurations and tune kNN performance with visual data from Kibana.
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.
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
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
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 DiskBBQ, an alternative to HNSW, and exploring when and why to use it.
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
Creating a small app to search video embeddings from TwelveLabs' Marengo model.
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
Building an intelligent search system by integrating Elastic's intelligent query layer with MCP to enhance the generative efficacy of LLMs.
