Entity resolution with Elasticsearch, part 3: Optimizing LLM integration with function calling
Learn how function calling enhances LLM integration, enabling a reliable and cost-efficient entity resolution pipeline in Elasticsearch.
Entity resolution with Elasticsearch & LLMs, Part 2: Matching entities with LLM judgment and semantic search
Using semantic search and transparent LLM judgment for entity resolution in Elasticsearch.
Ensuring semantic precision with minimum score
Improve semantic precision by employing minimum score thresholds. The article includes concrete examples for semantic and hybrid search.
Entity resolution with Elasticsearch & LLMs, Part 1: Preparing for intelligent entity matching
Learn what entity resolution is and how to prepare both sides of the entity resolution equation: your watch list and the articles you want to search.
From vectors to keywords: Elasticsearch hybrid search in LangChain
Learn how to use hybrid search in LangChain via its Elasticsearch integrations, with complete Python and JavaScript examples.
Query rewriting strategies for LLMs and search engines to improve results
Exploring query rewriting strategies and explaining how to use the LLM's output to boost the original query's results and maximize search relevance and recall.
Hybrid search and multistage retrieval in ES|QL
Explore the multistage retrieval capabilities of ES|QL, using FORK and FUSE commands to integrate hybrid search with semantic reranking and native LLM completions.
Building a ChatGPT connector with Elasticsearch to query GitHub issues
Learn how to build a custom ChatGPT connector and deploy an Elasticsearch MCP server that uses hybrid search to query internal GitHub issues.
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.
You Know, for Context - Part III: The power of hybrid search in context engineering
Discover how to use context engineering and hybrid search to improve AI output accuracy with aggregations, RBAC, and non-content signals.
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.
Multimodal search for mountain peaks with Elasticsearch and SigLIP-2
Learn how to implement text-to-image and image-to-image multimodal search using SigLIP-2 embeddings and Elasticsearch kNN vector search. Project focus: finding Mount Ama Dablam peak photos from an Everest trek.