How big is too big? Elasticsearch sizing best practices
There’s no hard size limit in Elasticsearch, but there are clear signals you've outgrown your setup. Learn how to size shards, manage node limits, choose storage by tier, and use AutoOps to catch problems before they happen.
Monitoring Kibana dashboard views with Elastic Workflows
Learn how to use Elastic Workflows to collect Kibana dashboard view metrics every 30 minutes and index them into Elasticsearch, so you can build custom analytics and visualizations on top of your own data.
AI agent memory: Creating smart agents with Elasticsearch managed memory
Learn how to create smarter and more efficient AI agents by managing memory using Elasticsearch.
Using subagents and Elastic Agent Builder to bring business context into code planning
Learn about subagents, how to ensure they have the right information, and how to create a specialized subagent that connects Claude Code to your Elasticsearch data.
Creating an AI agent with n8n and MCP
Exploring how to build a trend analytics agent with n8n while leveraging the Elasticsearch MCP server.
Elastic Open Web Crawler as a code
Learn how to use GitHub Actions to manage Elastic Open Crawler configurations, so every time we push changes to the repository, the changes are automatically applied to the deployed instance of the crawler.
RAG without “AG”?
Learn how to leverage semantic search and ELSER to build a visually appealing Q&A experience, without using LLMs.
Indexing OneLake data into Elasticsearch - Part II
Second part of a two-part article to index and search OneLake data into Elastic using a Custom connector.
Indexing OneLake data into Elasticsearch - Part 1
Learn to configure OneLake, consume data using Python and index documents in Elasticsearch to then run semantic searches.
Elastic Jira connector tutorial part II: Optimization tips
After connecting Jira to Elasticsearch, we'll now review best practices to escalate this deployment.
Elastic Jira connector tutorial part I
Reviewing a use case for the Elastic Jira connector. We'll be indexing our Jira content into Elasticsearch to create a unified data source and do search with Document Level Security.
When hybrid search truly shines
Demonstrating when hybrid search is better than lexical or semantic search on their own.
Using Ollama and Go to build a RAG application
Building a RAG application with Go using Ollama to leverage local models.
Using Elastic and Apple's OpenELM models for RAG systems
How to deploy and test the Apple's OpenELM models and build a RAG system using Elastic.
Late chunking in Elasticsearch with Jina Embeddings v2
Using the Jina Embeddings v2 model in Elasticsearch, implementing late chunking, and exploring the pros and cons of long context embeddings models.
Phrase synonyms like a boss with the Elasticsearch synonyms API
Learn how to use phrase synonyms with the synonyms API in real scenarios.
Federated SharePoint searches with Azure OpenAI Service On your data
Using Azure OpenAI Service on your data with Elastic as vector database.
Building a search app with Blazor and Elasticsearch
Learn how to build a search application using Blazor and Elasticsearch, and how to use the Elasticsearch .NET client for hybrid search.
Adding AI summaries to your site with Elastic
How to add an AI summary box along with the search results to enrich your search experience.
Phi-3 small models, Elastic & RAG: Creating a smart ordering system
Deploying Phi-3 models on Azure AI Studio and using them with Elastic Open Inference Service to create a RAG application.
Building multilingual RAG with Elastic and Mistral
Building a multilingual RAG application using Elastic and Mixtral 8x22B model
Build a RAG application with Elasticsearch's semantic_text and Amazon Bedrock
Learn how to build a RAG application using Elasticsearch's semantic_text mapping type and Amazon Bedrock without leaving Elastic.