How does the Search and Match mechanism work, and what is the underlying basis of its operation?

RChilli’s Search and Match API, built on Search & Match Engine 3.0, leverages AI, ML, deep learning, and taxonomy-based intelligence to deliver precise, scalable, and real-time job-candidate matching.

1. Data Indexing with Contextual Intelligence

Before search or match can begin:

• Parsing extracts structured data (skills, education, experience, etc.) from resumes or JDs.

• Indexing stores that data in a searchable format within a secure, region-specific environment.

Difference Between Parsing and Indexing
ParseAndIndex API Documentation

2. Matching Algorithms and Modes

RChilli supports four intelligent match types:

• Resume to Jobs – Suggests relevant job openings for a candidate.

• Job to Resumes – Finds the best candidates for a JD.

• Resume to Resumes – Discovers similar candidate profiles.

• Job to Jobs – Recommends similar job descriptions.

Search & Match API Overview

3. Ontology- and Taxonomy-Based Matching

RChilli’s Taxonomy 3.0 powers semantic search using:

• Over 3 million skills and 2.4 million job profiles.

• Mapped synonyms, aliases, and abbreviations across domains.

Standardization/Taxonomy Overview
Using the Taxonomy in MyAccount

4. Search Query Enhancement

Natural-language search strings (e.g., “Java Developer in New York”) are:

• Parsed into tagged queries with attributes like location, skills, experience, etc.

• Enhanced with facet filters to improve precision and reduce irrelevant results.

Facets & Filtering Documentation
Experience Range Deviation Guide

5. Customizable Scoring Logic

Two scoring options:

• Default Logic: Uses built-in weightage for location, skills, domain, etc.

• Configurable Logic: Users can assign custom weights (e.g., 60% skills, 20% location) directly via UI or payloads.

Scoring & Weightage Configuration
Custom Weightage Settings

Underlying Technology and Architecture

• Search Engine: Built on Solr/Elasticsearch principles + RChilli’s enhancements.

• AI/ML Integration: NLP and contextual ML models for intelligent ranking.

• Cluster Computing: Ensures performance, especially during bulk operations.

• GDPR Compliant: Fully secure and regionalized data processing.

Product Deployment & Data Center Selection
Monitoring & Downtime Policies

Benefits of RChilli’s Search & Match

Redaction & Resume Masking Guide

Resources for Further Reading

• Search & Match Overview

• Parse and Index API

• Experience Range and Filtering

Need Help or a Demo?

Reach out to our team at support@rchilli.com to schedule a walkthrough, resolve setup queries, or integrate these features with your ATS or HR platform.