What is RChilli Search and Match? – RChilli HelpDesk

RChilli Search and Match is an AI-powered engine designed to intelligently connect job descriptions with candidate resumes—and vice versa—through enhanced semantic search and deep learning algorithms. It goes beyond basic keyword matching by using contextual analysis, global taxonomies, and real-time scoring to deliver highly relevant and accurate results.

Core Capabilities of RChilli Search and Match

1. Advanced Candidate and Job Matching

The engine supports multiple types of match scenarios:

Job to Jobs: Recommends similar job descriptions.
Resume to Jobs: Suggests relevant jobs based on a candidate’s resume.
Job to Resumes: Finds the most suitable candidates for a job opening.
Resume to Resumes: Identifies similar candidate profiles for benchmarking or comparison.

These features are particularly useful for staffing agencies, ATS platforms, and job boards aiming to deliver personalized recommendations and faster hiring cycles.

2. Semantic Query Processing

RChilli's intelligent engine:

Converts simple search inputs into enriched queries by tagging keywords with associated skills, job titles, tools, languages, and experience levels.
Offers suggestions to refine search results through faceting and filtering.
Includes a de-duplication mechanism to avoid redundant indexing.

Key Business Benefits

Smarter Talent Acquisition

Enables recruiters to map candidates and job roles with high accuracy using criteria like:
- Skills
- Domain expertise
- Education
- Previous employers
- Geographic location

Dynamic Scoring and Weightage

Allows custom scoring configurations based on business priorities (e.g., giving higher weight to skills vs. location).
Scoring logic is split into:
- Default (Baseline): Predefined scoring.
- Configurable (Custom): User-adjustable weights via frontend settings.

Enhanced System Performance

Search & Match Engine 3.0 ensures:
- Fast, cluster-based processing.
- Scalable performance for bulk indexing and pagination.
- GDPR-compliance and regional data isolation for secure data management.

How It Works: Parsing vs. Indexing

Parsing: Extracts structured data (name, skills, experience, etc.) from a document.
Indexing: Makes that data searchable and matchable in the system.
To enable Search and Match capabilities, you must index the parsed data using the ParseAndIndex API.

Data Handling & Security

RChilli temporarily stores indexed documents in a secure, region-specific environment for search/match operations.
Data is not permanently stored, and users can remove indexed records using the DeleteAllDocuments API.

Why Choose RChilli Search and Match?

AI and ML-driven contextual search.
Instant, relevant candidate/job recommendations.
Improved recruiter efficiency and reduced time-to-hire.
Seamless integration into ATS, CRM, and HRMS platforms via REST APIs.

Resources & Documentation

For further support, email support@rchilli.com