A handy collection of documentation, videos, blogs, and training resources to help guide and optimize your search projects with Elastic App Search.
If you haven’t already, let’s get your App Search deployment up and running. See how quickly you can get set up, ingest data, explore the search interface, and analyze and tune your search experience.
The all-important data ingest step sets the foundation for the search experiences you’ll build. Learn more about the ways you can effortlessly index data in App Search.
Together with Elastic consultants and support engineers we have written a guide to help you collect requirements and carry those requirements throughout your implementation. Accelerate your project with expert consulting from Elastic or our business partners.
Your site analytics provide visibility into customers’ search usage and offer insights for enhancing your search experience.
You can take advantage of typo tolerance, curations, stemming, and autocomplete capabilities all out of the box, but you’ll also want to optimize your data for different customers’ search needs. Below are some search best practices and general tips for maximizing App Search results.
If this is your first deployment, you may have skipped over some things when you got data flowing. Now it’s time to secure your deployment and set up administration management.
Log management and keeping current on versions are two important tasks. Get the details below.
The free and open Search UI is a React library that gives you incredible flexibility for tailoring the look, feel, and functionality of your search experiences for maximum impact. The resources below show you how to set up and customize your search experience.
A Meta engine is an engine that has no documents of its own. Instead, it combines multiple other engines so that they can be searched together as if they were a single engine.
For Swiftype users, App Search is now available on Elastic Cloud. To hear about the benefits of migrating, watch this Migrating from Swiftype App Search to Elastic Cloud video (or read the blog).
The resources below guide you through creating a deployment in Elastic Cloud and launching Workplace Search. Learn how to quickly get set up, index and synchronize data, and optimize the search experience for different members of your organization.
A host of prebuilt content source integrations with popular storage, collaboration, and productivity tools — Google Drive, Gmail, OneDrive, GitHub, Salesforce, Confluence, and many more — simplify the Workplace Search ingest process.
Take advantage of the unified search experiences like automatic keyword detection and other smart filtering capabilities that Workplace Search provides. Start with the Searcher’s guide to Workplace Search and leverage the amazing knowledge and tips shared by our Elastic community in the Workplace Search forum.
If this is your first deployment you may have skipped over some things when you got data flowing. Now it’s time to secure your deployment and boost the priority of content sources your teams value the most.
With the Custom Source API, you can also build your own connectors and index data from your uniquely identified endpoints. Whether it’s a homegrown data platform, a legacy system, or anything in between, here are resources to help you get started.
Our discussion forums are a great way to connect with engineering and the wider community to get answers to your questions. Also, you can join our Elastic community on Slack.