Vector Search
Retrieval of originating information in multi-vector documents
Learn more on how to link original context to a multi-vector document.
Red Hat extends collaboration with Elasticsearch vector database for Red Hat OpenShift AI
Elasticsearch is now a preferred vector database solution on Red Hat OpenShift AI
Making Elasticsearch and Lucene the best vector database: up to 8x faster and 32x efficient
Recent features bring significant performance gains to Elasticsearch and Lucene vector database.
Elastic Cloud adds Elasticsearch Vector Database optimized instance to Google Cloud
Elasticsearch adds a new vector search optimized profile for GCP.
Simplifying kNN search
Benchmarking & experimentation for simplifying kNN-search
Elasticsearch open inference API adds support for Cohere Embeddings
Learn more about how to use Cohere embeddings with Elastic built search experiences!
Elasticsearch open Inference API adds support for Cohere’s Rerank 3 model
“Elasticsearch integrates semantic reranking with Cohere’s Rerank models, with the inclusion of Rerank into our open Inference API.”
Scaling ML Inference Pipelines in Elasticsearch: How to avoid issues and troubleshoot bottlenecks
Learn different strategies to run Machine Learning Inference pipelines in Elasticsearch smoothly and easily.
Improving text expansion performance using token pruning
How to improve the performance of text expansion queries by making them more efficient without sacrificing recall