Learn how to use the ES|QL query builder, a new Python Elasticsearch client feature that makes it easier to construct ES|QL queries using a familiar Python syntax.

Learn how easy it is to build a custom Elastic connector using LLMs. We'll be creating a Crawl4AI connector for Elastic's Connector Framework.

Learn about Ragas and how to use it with Elasticsearch to evaluate LLM applications.

Comparing Elasticsearch semantic text and OpenSearch semantic field in terms of simplicity, configurability, and efficiency.

Learn how to show fields of an Elasticsearch index using the _mapping and _search APIs, synthetic _source, runtime fields, and displaying sub-fields.

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

Cross-Cluster search with ES|QL is now GA! Query data across multiple clusters with a single, elegant query. Learn about its performance, resilience, and syntax.

Exploring the latest enhancements in Elastic Stack alerting, including improved related alert grouping, linking dashboards to alert rules, and embedding investigation guides into alerts.

Learn about the Elasticsearch Reranker & LlamaIndex RankGPTs, how to use them, and how to transition to the Elastic semantic reranker.

Learn how to build an Elasticsearch API with FastAPI using Pydantic schemas and FastAPI background tasks, demonstrated with a practical example.

Learn JVM basics, including how to examine memory usage patterns and troubleshoot JVM issues, such as Exit code 127 and Exit code 137, by understanding JVM’s memory management and object reaping via garbage collection.

Comparing RAG with just sending everything to a long context model and letting the LLM analyze the context and answer a question.