The document discusses using Elastic's App Search product to build custom search experiences for applications. It notes that App Search handles many of the complexities involved in building search, such as processing queries, filtering results, and handling facets and pagination, allowing developers to focus on customizing the user interface. The document encourages attendees to use App Search and Elastic Cloud to build search functionality with less time spent on infrastructure and more time spent differentiating their applications. It highlights key App Search features like searching multiple data sources at once and enforcing privacy with signed search keys.
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Using Elastic @ Elastic:
Fast tracking support
search
Andy James
Senior Full Stack Developer,
Custom Apps Team
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Forward-Looking Statements
6. API Datastore
Extra
Features
• Process client requests
• Filters
• Facets
• Pagination
• Issue queries
• Transform results
• Synonyms
• Weighted fields
• More complexity
There’s Also Server Code
11. Let Elastic Do
The Heavy Lifting
Search UI
Customizable React components for a fully
featured search experience
App Search
A datastore product designed around
search experiences
Elastic Cloud
Host it with Elastic Cloud to reduce
administrative overhead
12. Less time
on that
←
More time
on this
→
XHRs
Click Handlers
Look and feel
Layout
Result Rendering
Focus On Making It Your Own
16. Key App Search Features
• Meta Engines
– Search multiple engines at once
– Manage data sets separately
• Signed Search Keys
– Builds filters into queries
– Enforces privacy/security