Yes, you can include skills and other information fields in RChilli’s Search and Match responses by leveraging its advanced configuration options. Here's a detailed breakdown of how this works:
Including Skills and Other Fields in Search & Match Responses
RChilli’s Search and Match API is designed to provide highly accurate candidate-to-job and job-to-candidate matching by leveraging enriched and structured data. Here's how you can include specific fields like skills, education, domain, etc., in the output:
1. Skill-Based Matching
RChilli uses a taxonomy-powered engine that supports:
-
Skill mapping and enrichment via standardized ontologies.
-
Segregated skill representation, showing the skill type (operational, behavioral, soft), source (Experience, Education, Projects), and even experience in months if mentioned in the resume.
You can include skill-specific settings in the API request using:
"apisetting": {
"reqskills": true,
"reqskillsdrill": true,
"sortskillbyexperienceinmonth": true,
"sortskillbylastused": true,
"removesimilarskill": true
}
2. Additional Field Controls
You can dynamically configure which other fields appear in the response, such as:
-
reqeducation
,reqexperience
,reqcertification
-
reqtaxonomy
: Enables alias and alternate values for skills/job titles -
formattedaddress
,formattedphone
,htmlresume
Example:
"apisetting": {
"reqeducation": true,
"reqexperience": true,
"reqtaxonomy": true,
"formattedaddress": true
}
These settings can be passed during the API call and directly affect the structure and content of the search and match results.
How to Configure These Fields
Option 1: Using My Account Portal
-
Navigate to your account.
-
Access advanced API settings.
-
Toggle the relevant fields (skills, education, certifications, etc.).
Option 2: Dynamic API Setting per Request
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Use the
apisetting
node in your JSON API call. -
This method allows for granular control on a per-request basis.
How It Enhances Matching Accuracy
Including these fields allows the Search & Match engine to:
-
Weight skills and other fields in its scoring logic (custom weightage is supported).
-
Filter candidates based on years of experience, domain expertise, education, location, and more.
-
Deliver highly relevant results using taxonomy-aligned keyword mapping and clustering.
Final Note
To leverage this functionality effectively, make sure:
-
The
reqskills
,reqtaxonomy
, and relevant drill settings are enabled. -
Your indexed documents contain these fields (done through parsing + indexing).
-
You configure scoring logic (optional) via your frontend or admin panel to prioritize these fields accordingly.
For advanced configuration, refer to RChilli's Search & Match API Docs or contact support@rchilli.com.
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