On what basis does RChilli Search works?

RChilli’s Search functionality is powered by its Enhanced Search & Match API (Engine 3.0), designed to deliver semantic, intelligent, and high-speed search through the combination of AI/ML, ontology-based classification, and enriched taxonomies.

1. Ontology & Taxonomy-Based Filtering

At the heart of RChilli Search lies Taxonomy 3.0, which includes:

• 3M+ Skills

• 2.4M+ Job Profiles

• Support for Multiple Languages

• Government-aligned Global Job Data

This taxonomy normalizes and enriches parsed resume or job data, enabling searches that go beyond keywords—capturing synonyms, similar job titles, abbreviations, and variations.

Taxonomy API Overview
Standardization and Mapping Guide

2. Search & Match Engine 3.0

RChilli uses a cluster-based backend engine for high-speed, real-time querying and ranking. The engine supports:

• Resume to Job matching

• Job to Resume matching

• Resume to Resume matching

• Job to Job suggestions

All documents are parsed, indexed, and stored temporarily in a secure, region-specific environment, making them ready for rapid faceted search.

Indexed fields include:

• Skills, Education, Experience

• Company, Domain, Location

Search & Match API Overview
ParseAndIndex API

3. Query Analyzer & Smart Matching

When a search query is entered, RChilli:

• Tags key attributes: skills, job roles, education, location

• Parses intent using AI and NLP

• Reconstructs the search string into a structured, weighted query

• Applies smart ranking logic based on custom weight configurations

The system allows user-defined scoring logic, meaning recruiters can fine-tune relevance based on:

• Must-have vs. nice-to-have skills

• Employer or job title preferences

• Geographic proximity

Scoring & Dynamic Weightage Guide
How Scoring Works

4. Temporary Indexing for Privacy

RChilli does not permanently store resume data from its Resume Parser API. However, Search & Match indexing is temporary, and tied to:

• Specific client environment (US, EU, SG, etc.)

• Secure storage with regional compliance (GDPR-ready)

Indexed documents can be removed using:

Delete All Documents API
Delete Document API

5. Faceted Search and Custom Filters

RChilli enables advanced filtering options in the search query:

• Years of Experience

• Skill Experience Ranges

• Location Filters (Geo Radius)

• Domain Relevance

• Candidate Availability

The use of facets and drill-down filters enables recruiters to interact with highly tailored and relevant search results.

Facets & Filtering Guide
Experience Range Configuration

6. Scoring Mechanism

Search results are ranked using a dynamic, customizable scoring model. The system supports:

• Default logic for common scenarios (skills > education > domain)

• Frontend configuration to change weightage as per business priorities

• Scoring normalization to improve accuracy across diverse profiles

Scoring Model Overview

Why Choose RChilli Search?

Resume Redaction & Masking Template

Need Help or a Demo?

• Contact: support@rchilli.com

• Developer APIs: RChilli API Documentation Portal