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Entity resolution with Elasticsearch & LLMs, Part 1: Preparing for intelligent entity matching
Elasticsearch Labs

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.

Jessica Moszkowicz
From vectors to keywords: Elasticsearch hybrid search in LangChain
Elasticsearch Labs

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.

Margaret Gu
How to defend your RAG system from context poisoning
Elasticsearch Labs

How to defend your RAG system from context poisoning

How context engineering techniques prevent context poisoning in LLM responses.

Tomás Murúa
jina-vlm: Seeing like an AI with vision language models
Elasticsearch Labs

jina-vlm: Seeing like an AI with vision language models

Learn about vision language models (VLMs), what jina-vlm can do, how to use it, and best practices.

Scott Martens
Using Groq with Elasticsearch for intelligent queries
Elasticsearch Labs

Using Groq with Elasticsearch for intelligent queries

Learn how to use Groq with Elasticsearch to run LLM queries and natural language searches in milliseconds.

Mark Puddick
ES|QL dense vector search support
Elasticsearch Labs

ES|QL dense vector search support

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

Carlos Delgado
Speed up vector ingestion using Base64-encoded strings
Elasticsearch Labs

Speed up vector ingestion using Base64-encoded strings

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

Jim Ferenczi
Building automation with Elastic Workflows
Elasticsearch Labs

Building automation with Elastic Workflows

A practical introduction to workflow automation in Elastic. Learn what workflows look like, how they work, and how to build one.

Tinsae Erkailo
Jina Rerankers bring fast, multilingual reranking to Elastic Inference Service (EIS)
Elasticsearch Labs

Jina Rerankers bring fast, multilingual reranking to Elastic Inference Service (EIS)

Elastic now offers jina-reranker-v2-base-multilingual and jina-reranker-v3 on EIS, enabling fast multilingual reranking directly in Elasticsearch for higher-precision retrieval, RAG, and agentic workflows without added infrastructure.

Sean Handley
Skip MLOps: Managed cloud inference for self-managed Elasticsearch with EIS via Cloud Connect
Elasticsearch Labs

Skip MLOps: Managed cloud inference for self-managed Elasticsearch with EIS via Cloud Connect

Introducing Elastic Inference Service (EIS) via Cloud Connect, which provides a hybrid architecture for self-managed Elasticsearch users and removes MLOps and CPU hardware barriers for semantic search and RAG.

Jordi Mon Companys
Cookbook for a production-grade generative AI sandbox
Elasticsearch Labs

Cookbook for a production-grade generative AI sandbox

Exploring the recipe for a generative AI sandbox, giving developers a secure environment to deploy application prototypes while enabling privacy and innovation.

Sean MacKirdy
Query rewriting strategies for LLMs and search engines to improve results
Elasticsearch Labs

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.

Christina Nasika