Vector Database

When TSDS meets ILM: Designing time series data streams that don't reject late data

How TSDS time bounds interact with ILM phases; and how to design policies that tolerate late-arriving metrics.

When TSDS meets ILM: Designing time series data streams that don't reject late data
LINQ to ES|QL: Write C#, query Elasticsearch

LINQ to ES|QL: Write C#, query Elasticsearch

Exploring the new LINQ to ES|QL provider in the Elasticsearch .NET client, which allows you to write C# code that’s automatically translated to ES|QL queries.

Fast vs. accurate: Measuring the recall of quantized vector search

March 20, 2026

Fast vs. accurate: Measuring the recall of quantized vector search

Explaining how to measure recall for vector search in Elasticsearch with minimal setup.

Adaptive early termination for HNSW in Elasticsearch

Adaptive early termination for HNSW in Elasticsearch

Introducing a new adaptive early termination strategy for HNSW in Elasticsearch.

Elasticsearch vector search is up to 8x faster than OpenSearch

February 25, 2026

Elasticsearch vector search is up to 8x faster than OpenSearch

Exploring filtered vector search benchmarks of OpenSearch vs. Elasticsearch and why vector search performance is critical for context-engineered systems.

Elasticsearch 9.3 adds bfloat16 vector support

February 16, 2026

Elasticsearch 9.3 adds bfloat16 vector support

Exploring the new Elasticsearch element_type: bfloat16, which can halve your vector data storage.

How to defend your RAG system from context poisoning

February 10, 2026

How to defend your RAG system from context poisoning

How context engineering techniques prevent context poisoning in LLM responses.

ES|QL dense vector search support

February 5, 2026

ES|QL dense vector search support

Using ES|QL for vector search on your dense_vector data.

Speed up vector ingestion using Base64-encoded strings

Speed up vector ingestion using Base64-encoded strings

Introducing Base64-encoded strings to speed up vector ingestion in Elasticsearch.

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