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Search and Match
The RChilli Search & Match API enhances your ability to find and match candidates and jobs with greater relevance and accuracy compared to traditional database searching methods.
Features
The following topics in this section describe the features of the Search and Match.
Index Documents
This feature is used to index the resume and JD.

Overview
RChilli is a global leader in Parsing, Matching, and Data Enrichment solutions, seamlessly integrating with recruiting platforms to enhance efficiency and accuracy.
Product Use-Cases
RChilli products cater to a wide range of use cases, allowing users to choose the most suitable solutions based on their specific requirements.
Resume Parser
The RChilli Resume Parser is a scalable solution designed to enhance user experience by efficiently extracting candidate data across 200+ fields through a REST API.
Job Parser
The RChilli Job Parser 3.1 is a scalable solution designed to streamline job data extraction by efficiently processing job descriptions and vacancies through a REST API.
Search and Match
The RChilli Search & Match API enhances your ability to find and match candidates and jobs with greater relevance and accuracy compared to traditional database searching methods.
- API Information
  An API (or Application Programming Interface) is the code that allows applications to talk to each other.
- Features
  The following topics in this section describe the features of the Search and Match.
  - Match One To Many
    This feature is used to match the resume/JD with the multiple resumes/JD's.
  - Resume Search
    This feature is used to match and find the resume's that matches with the keyword.
  - JD Search
    This feature is used to match and find the JD's that matches the keyword.
  - Index Documents
    This feature is used to index the resume and JD.
  - Geographical Search
    This feature is used to find a candidate near you through geographical search in simple and advance search methods.
  - Facets
    Facet is a list of values with the count of documents in which these values are found. Facets are displayed on the left side of the page while searching for Resume's and JD's.
  - Filter
    You can filter Resume and JD search results by selecting further fields in the Facets.
  - Sorting
    You can sort Resume and JD search results by selecting further fields in the sorting parameter.
  - Ignore/Exclude Filter
    This feature is used to filter the results by ignoring/removing fields as necessary from the result. This feature is used by simply adding '-' (minus symbol) in front of the fields that you want to ignore/remove from the result.
  - Include Document ID
    This feature searches and matches the documents whose indexed IDs are passed in the API request.
  - Exclude Document ID
    This feature searches and matches all the indexed documents except the documents whose indexed IDs are passed in the API request.
  - Pagination
    Pagination helps you to fetch data in batches call as a page.
  - Explain Score
    This feature is to get a detailed score of search fields that matches with the search result.
  - Custom Weightage/Scoring
    This is the weightage of fields for search and match fields that can be customized as per the requirement.
  - DeDuplication
    Deduplication helps to avoid indexing duplicate records in the search engine.
  - Partial Match
    Partial Match helps to search the documents based on the words in the keyword.
  - Custom Value
    Custom Value helps to index documents with the custom values.
  - Field Lists
    Currently, Search and Match API returns the default fields (entities) in the response (fields in the records array). Now with the fieldList parameter in the Search and Match API request, you can customize the fields in the API response. See the example in Table 1. Simple Search request and response with and without fieldList parameter.
  - Dynamic Weightage
    The weightage for the Search and Match entities in the API response can be customized by passing the dynamic weightage in the Search and Match API input.
  - Date Range
    This feature searches and matches all the indexed documents based on the date range passed in the API request.
  - Required Match Fields
    The entities specified within the requiredMatchFields parameter of the Search and Match API request are considered as mandatory criteria for searching and matching, with an 'AND' condition applied between the entities.
  - Experience Range Deviation
    The experienceRangeDeviation parameter when passed in the search and match API request and if it is TRUE, then the search result is based on the criteria as describe in this topic.
  - Dynamic Field Matching
    Currently, the search and match API perform matching on all available entities within the Resume/JD. If the user wants to match with a specific entity in the resume/JD, they can use the dynamicMatchFields parameter in the API input.
  - Match using Indexed IDs
    This topic describe the procedure on how you can match resume or JD using the document indexed IDs.
  - Match Degree with Specialization
    This topic describe the procedure on how you can match the Specialization entity along with Degree of the candidate.
  - Skill Type
    This topic describe the procedure on how you can get the skillType in the Search and Match API response.
  - Skill Ranking
    Skill ranking extracts, organizes, and weights key skills to prioritize the top 30 for matching based on relevance, recency, and proficiency.
  - Source Type
    This topic describe the procedure on how you can get the Source Type in the Search and Match API response.
  - Job Zone Weightage
    Job Zones categorize job profiles into one of five categories based on the required levels of education, experience, and training.
  - Zero Score Weightage
    Currently, in the SearchAndMatch API, entities are returned with weightage when a document is matched but if no document is matched then entities with weightage are not returned.
  - Semantic Search
    This topic describe the procedure on how you can do the semantic search in the Search and Match API.
  - Ontology Search
    This topic describe the procedure on how you can use the Ontology search in the Search and Match API.
  - Degree Weight Optimization
    The Search and Match degree matching for JD to resume has been enhanced with the Degree Weight Optimization feature.
  - Source Value
    When you use the Search and Match API to compare Resumes with Job Descriptions (JDs), it is important to know which values from the source document (like a JD) are being used for matching. This helps you better understand the results that the API returns. This topic explains on how to find the source value in the API response to make your matching results clearer.
- Language Support
  RChilli Search and Match supports searching in multiple languages, it does not require any separate configuration. The Search and Match auto-identifies the languages of the Resume/JD and extracts the information.
- Response Schema
  The following table describe the Search and Match fields.
- Request Example
  To get the search and match output data, send a POST request using search and match endpoints, methods, and parameters.
- Response Example
  Follow the below sample search and match response in the JSON format.
- Error Code
  This topic lists the error codes of Search and Match Error Code.
Taxonomy
RChilli Taxonomy 3.0 offers an extensive and meticulously curated collection of skills and job profiles, providing rich, related information for enhanced job and resume searching capabilities.
Resume Redactor
RChilli Resume Redactor API helps in masking resumes before sending them to the employer.
ERP Integration
The components of RChilli application can be integrated with the Oracle HCM Cloud, Oracle PeopleSoft, Salesforce, and SAP Application.
Partner Panel User Guide
RChilli provides a dedicated portal for the partner's to manage their company details.
Plugins
The RChilli provides Plugins, such as Resume_Templater_plugin.html, Document_Converter_plugin.html, NER_Tagger_plugin.html, Contact Extractor, GeoLocation_plugin.html, Job_Zone_Plugin.html, and flexisense_requests_plugin_overview.html that extend the capabilities of the RChilli products.
RChilli Marketplace
The resume parser output can be enriched by activating the other application workflows that are listed on the Enrichment Marketplace such as Lusha, BOLD, Toofr, Rchilli Redact, LLM Parser, etc.
Plan Subscription and Cost
Details on the transaction costs for using RChilli API, along with instructions on how to subscribe to a new plan or upgrade an existing one.
Run in Postman
You can quickly get started with RChilli APIs using Postman.
Release Notes
Release notes comprise new features, improvements, and bug fixes for the following RChilli products.
Glossary
The glossary includes terms and definitions in RChilli Knowledge Center.

Index Documents

This feature is used to index the resume and JD.

Once the resume's or JD's are indexed, then only you will be able to utilize the search and match features on the indexed documents. You can search resume or JD based on your search keyword out of the total resumes and JDs you indexed. Index Documents uses the Parse and Index endpoint.

Index Documents in My Account

The following steps describe how you can index the document in the My Account.

Enter your Email and Password to log in to your RChilli My Account client portal or use Office 365 or Google to log in as necessary. You must sign up if you do not have registered account.
Note: Contact support@rchilli.com for My Account portal access, subscription plans, pricing, and for any further support.
Click RChilli API to log in into RChilli My Account portal.
On the Integration (Demo) tab, click Search and Match 3.0 on the navigation panel, and select Index Documents from the drop-down.
Choose RESUME INDEX or JD INDEX as necessary. Click Choose File, upload either single file or zip file, and click Index.
Note: You can upload a single file with ('doc','docx', 'pdf', 'txt) extension and zip file with extension (zip). The size limit is up to 100mb, and the number of files in the zip is up to 50 only.
A success pop-up will be displayed once the file is indexed successfully. Click OK on the success pop-up.