Blogs
Developer insights and practical how-to articles from our experts to inspire and empower your search experience.
An open‑source Hebrew analyzer for Elasticsearch lemmatization
An open-source Elasticsearch 9.x analyzer plugin that improves Hebrew search by lemmatizing tokens in the analysis chain for better recall across Hebrew morphology.
Elasticsearch 9.3 adds bfloat16 vector support
Exploring the new Elasticsearch element_type: bfloat16, which can halve your vector data storage.
AI agents that perform actions: Automating IT requests with Agent Builder and Workflows
Using Elastic Agent Builder and Workflows to create an AI agent that automatically performs IT actions, such as laptop refreshes.
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.
How to defend your RAG system from context poisoning
How context engineering techniques prevent context poisoning in LLM responses.
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.
Using Groq with Elasticsearch for intelligent queries
Learn how to use Groq with Elasticsearch to run LLM queries and natural language searches in milliseconds.
Speed up vector ingestion using Base64-encoded strings
Introducing Base64-encoded strings to speed up vector ingestion in Elasticsearch.
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.
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.