Articles
Improving information retrieval in the Elastic Stack: Improved inference performance with ELSER v2
Learn about the improvements we've made to the inference performance of ELSER v2.
Improving information retrieval in the Elastic Stack: Optimizing retrieval with ELSER v2
Learn about how we're reducing retrieval costs for ELSER v2.
Evaluating RAG: A journey through metrics
Learn how Elastic is evaluating RAG.
Evaluating scalar quantization in Elasticsearch
Learn how scalar quantization can be used to reduce the memory footprint of vector embeddings in Elasticsearch.
Scalar Quantization Optimized for Vector Databases
Optimizing scalar quantization for the vector database use case allows us to achieve significantly better performance for the same retrieval quality at high compression ratios.
Int4: More Scalar Quantization in Lucene
Optimizing scalar quantization in Lucene and adding int4 support.
Improving information retrieval in the Elastic Stack: Introducing Elastic Learned Sparse Encoder, our new retrieval model
Deep learning has transformed how people retrieve information. We've created a retrieval model that works with a variety of text with streamlined processes to deploy it. Learn about the model's performance, its architecture, and how it was trained.
Speeding Up Multi-graph Vector Search
Sharing information among segment searches in multi-graph vector search allows us to achieve significant search speedups.