Where can we find the parameters for searching and matching?

To find the parameters for Searching and Matching in RChilli’s system, you need to look into the configuration and usage of the Search & Match API, particularly how it handles inputs like job descriptions, resumes, and search strings. Below is a breakdown of where you can find and how you can use these parameters:

Where to Find Parameters for Search and Match

1. Search & Match API Documentation
   The official RChilli Knowledge Center provides a complete list of API endpoints, including:

   • /searchResumes

   • /matchResume

   • /matchJob

   • /searchJobs

   • /parseAndIndex

   Each of these endpoints accepts specific parameters in a structured JSON format. These parameters include candidate data, job descriptions, keywords, filters (e.g., location, experience), and weights.

   You can view the official reference here:
   Search & Match API Endpoints Overview

Key Parameters Used in Searching and Matching

These parameters are passed within the API request (typically in JSON format):

• a. Basic Input Parameters

  • userkey: Your API key.

  • subuserid: Your unique subuser ID.

  • version: The version of the API being used (e.g., 8.0.0).

  • searchText: The free-text query (for search APIs).

  • document: Resume or job description used for matching.

  • indexname: The index you're searching against.

• b. Advanced Filtering Options

  • location, education, skills, company, jobtitle: Filter the search or match results.

  • experienceInMonths: Minimum/maximum required experience.

  • facet: Used for faceted search to retrieve summary counts (e.g., number of resumes per job title or location).

• c. Scoring Customization
  You can configure the scoring algorithm via:

  • Default logic (predefined weightage)

  • Custom logic (adjust weightage via frontend or API call)

  Detailed logic for scoring can be found here:
  How Scoring Works in Search & Match

Search Intelligence Enhancements

RChilli’s Search & Match Engine 3.0 enriches search by using:

• Ontology & Taxonomy-based Matching – Powered by RChilli's Taxonomy 3.0.

• Query Analyzer – Breaks down input into structured filters (e.g., skills, job title, tools).

• Faceted Search – Helps you refine results dynamically.

• Pagination – Handles bulk data effectively.

More about these advanced features can be explored here:
Search & Match Features

Summary

Need Help?

For a tailored walkthrough or if you need access setup, you can always email support@rchilli.com.