3.2.15 Elastic Search
- Nick (Deactivated)
- Olivia Thomajan (Deactivated)
- Lydia Hou (Deactivated)
- Rajkiran Alla (Deactivated)
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.
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, How do I index or re-index the documents? | Indexing schemas
Experience Designer
Using the Search node, you can query against the data and retrieve the results that match the specified criteria. Refer, Search node
Example
Create a schema with the fields facility name, facility image, address, phone number, location (latitude and longitude), etc.
Sample schema (facilitydata) used in this example is:
{
"fields": [
{
"type": "String",
"fieldType": "text",
"ref": "",
"options": [],
"multiple": false,
"validation": [
{
"required": false
}
],
"isDefault": false,
"label": "Hospital Name",
"key": "hospitalname"
},
{
"type": "String",
"fieldType": "text",
"ref": "",
"options": [],
"multiple": false,
"validation": [
{
"required": false
}
],
"isDefault": false,
"label": "City",
"key": "city"
},
{
"type": "Object",
"fieldType": "json",
"ref": "",
"options": [],
"multiple": false,
"validation": [
{
"required": true
}
],
"isDefault": false,
"label": "Location Object",
"key": "location",
"es": "geo_point"
}
]
}You can query for any of these fields and get the document and render the information to the chatbot.
For example, if you wanted to know all the hospitals that are available in Davenport city, you can query for the city name and get the results.
The sample document with the above schema is shown below.
In the Experience Designer, construct a flow as shown.
Place the below code in the City name search function node:
queriedCity = msg.payload.request.intent.slots.city_slot.value
msg.payload.q = {
"query": {
"bool": {
"must": {
"match": {
"city": queriedCity
}
}
}
}
}
return msg;The Search node configuration is as follows:
{
"q" : "{{msg.payload.q}}"
}Place the below code in the Hospital Names function node:
The say node configuration is as follows:
Export file for the Experience Designer flow:
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In the chatbot, if the chatbot user says Davenport, the Search node will get the hospital names that have the city field as Davenport.
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Video Content
https://cdn.orbita.cloud/assets/orbita/experiencedesigner/elasticsearch.mp4
Supporting Documentation
How do I index or re-index the documents?