July 10, 2025
Diversifying search results with Maximum Marginal Relevance
Implementing the Maximum Marginal Relevance (MMR) algorithm with elasticsearch and Python. This blog includes code examples for vector search reranking.
July 9, 2025
Semantic text is all that and a bag of (BBQ) chips! With configurable chunking settings and index options
Semantic text search is now customizable, with support for customizable chunking settings and index options to customize vector quantization, making semantic_text more powerful for expert use cases.
June 16, 2025
elasticsearch open inference API adds support for IBM watsonx.ai rerank models
Exploring how to use IBM watsonx™ reranking when building search experiences in the elasticsearch vector database.
May 13, 2025
Mapping embeddings to elasticsearch field types: semantic_text, dense_vector, sparse_vector
Discussing how and when to use semantic_text, dense_vector, or sparse_vector, and how they relate to embedding generation.
April 23, 2025
How to implement Better Binary Quantization (BBQ) into your use case and why you should
Exploring why you would implement Better Binary Quantization (BBQ) in your use case and how to do it.
April 15, 2025
elasticsearch BBQ vs. OpenSearch FAISS: Vector search performance comparison
A performance comparison between elasticsearch BBQ and OpenSearch FAISS.
April 7, 2025
Speeding up merging of HNSW graphs
Explore the work we’ve been doing to reduce the overhead of building multiple HNSW graphs, particularly reducing the cost of merging graphs.
March 20, 2025
Scaling late interaction models in elasticsearch - part 2
This article explores techniques for making late interaction vectors ready for large-scale production workloads, such as reducing disk space usage and improving computation efficiency.
March 19, 2025
Exploring GPU-accelerated Vector Search in elasticsearch with NVIDIA
Powered by NVIDIA cuVS, the collaboration looks to provide developers with GPU-acceleration for vector search in elasticsearch.