Orbita uses Elastic Search, a highly scalable, open-source, full-text search analytics engine. The use of Elastic search enhances the Chatbot users' experience by providing quick and accurate results.

How to leverage Elastic search capabilities?

In Orbita, every document you create will be stored in the Elastic search database. This makes it easier for you to search and retrieve content accurately.

We will describe the steps with he the help of an example of Geo location. In this example, we have facilities and their data stored in a collection of documents.

Schema

A schema enables us to create a collection. The schema is like a skeleton for each document where you fill in the information. To hold this information we need to create a schema. Refer How do I create Schemas?

Index the documents

After the schema is created, index the schema. By indexing the schema, any new documents added to the schema are automatically indexed by Elastic search. Refer, https://orbita.atlassian.net/wiki/spaces/OCS/pages/6553674/How+do+I+index+or+re-index+the+documents#Indexing-schemas

Experience Designer

You can make use of the search node is going to search for the queried data against the schema and retrieve the results that matches the specified criteria. Refer, Search node

Example

In this example, a schema named facilitydataschema is created and every document (facility) created with this schema contains the fields (information) such as facility name, facility image, address, phone number, location (latitude and longitude), etc.

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