August 12, 2025
Beyond similar names: How elasticsearch semantic text exceeds OpenSearch semantic field in simplicity, efficiency, and integration
Comparing elasticsearch semantic text and OpenSearch semantic field in terms of simplicity, configurability, and efficiency.
August 8, 2025
Using Direct IO for vector searches
Using rescoring for kNN vector searches improves search recall, but can increase latency. Learn how to reduce this impact by leveraging direct IO.
July 29, 2025
elasticsearch now with BBQ by default & ACORN for filtered vector search
Explore how elasticsearch's vector search now delivers better results faster, and at a lower cost.
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.