Relevance

November 27, 2025

Hybrid search without the headache: simplifying hybrid search with retrievers

Explore how to simplify hybrid search in Elasticsearch with a multi-field query format for linear and RRF retrievers, and create queries with no previous knowledge about your Elasticsearch index.

Hybrid search without the headache: simplifying hybrid search with retrievers
You Know, for Context - Part I: The evolution of hybrid search and context engineering

November 12, 2025

You Know, for Context - Part I: The evolution of hybrid search and context engineering

Explore how hybrid search and context engineering have evolved from lexical foundations to enable the next generation of agentic AI workflows.

The impact of relevance in context engineering for AI agents

November 5, 2025

The impact of relevance in context engineering for AI agents

Discover how hybrid retrieval, semantic chunking, and agentic search improve LLM performance by managing context relevance efficiently.

Balancing the scales: Making reciprocal rank fusion (RRF) smarter with weights

September 15, 2025

Balancing the scales: Making reciprocal rank fusion (RRF) smarter with weights

Exploring weighted reciprocal rank fusion​ (RRF) in Elasticsearch and how it works through practical examples.

MCP for intelligent search

September 8, 2025

MCP for intelligent search

Building an intelligent search system by integrating Elastic's intelligent query layer with MCP to enhance the generative efficacy of LLMs.

Building intelligent duplicate detection with Elasticsearch and AI

July 30, 2025

Building intelligent duplicate detection with Elasticsearch and AI

Explore how organizations can leverage Elasticsearch to detect and handle duplicates in loan or insurance applications.

Diversifying search results with Maximum Marginal Relevance

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.

Semantic text is all that and a bag of (BBQ) chips! With configurable chunking settings and index options

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.

Hybrid search revisited: introducing the linear retriever!

Hybrid search revisited: introducing the linear retriever!

Discover how the linear retriever enhances hybrid search by leveraging weighted scores and MinMax normalization for more precise and consistent rankings. Learn how to configure this new tool for optimized search pipelines and improve your results today.

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