Integrations

January 24, 2025

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 II
Indexing OneLake data into Elasticsearch - Part 1

January 23, 2025

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.

High Quality RAG with Aryn DocPrep, DocParse and Elasticsearch vector database

January 21, 2025

High Quality RAG with Aryn DocPrep, DocParse and Elasticsearch vector database

Learn how to achieve high-quality RAG with effective data preparation using Aryn.ai DocParse, DocPrep, and Elasticsearch vector database.

How to ingest data to Elasticsearch through Apache Airflow

January 17, 2025

How to ingest data to Elasticsearch through Apache Airflow

Learn how to ingest data to Elasticsearch through Apache Airflow.

Jira connector tutorial part II: 6 optimization tips

January 16, 2025

Jira connector tutorial part II: 6 optimization tips

After connecting Jira to Elasticsearch, we'll now review best practices to escalate this deployment.

Jira connector tutorial part I

January 15, 2025

Jira connector tutorial part I

Indexing our Jira content into Elasticsearch to create a unified data source and do search with Document Level Security.

Chatting with your PDFs using Playground

January 8, 2025

Chatting with your PDFs using Playground

Learn how to upload PDF files into Kibana and interact with them using Elastic Playground. This blog showcases a practical example of chatting with PDFs in Playground.

Using Ollama and Go for RAG applications

December 26, 2024

Using Ollama and Go for RAG applications

Creating a RAG application with Go using Ollama to leverage local models.

How to migrate your Ruby app from OpenSearch to Elasticsearch

December 13, 2024

How to migrate your Ruby app from OpenSearch to Elasticsearch

A guide to migrate a Ruby codebase from the OpenSearch client to the Elasticsearch client.

Ready to build state of the art search experiences?

Sufficiently advanced search isn’t achieved with the efforts of one. Elasticsearch is powered by data scientists, ML ops, engineers, and many more who are just as passionate about search as your are. Let’s connect and work together to build the magical search experience that will get you the results you want.

Try it yourself