Home
Search and Match
RChilli Search & Match API allows you to search and match candidates and jobs with great relevancy and accuracy than simple database searching and matching algorithms.
Search and Match API
An API (or Application Programming Interface) is the code that allows applications to talk to each other.
Search and Match Endpoints, Method and Parameters
The endpoints indicate how you access the resource, while the method indicates the allowed interactions (such as GET, POST, or DELETE) with the resource.
Delete
This API is used to delete indexed files, from the database, by providing document ID.

Overview
RChilli is the trusted partner for Parsing, Matching, and Data enrichment for global recruiting platforms.
Resume Parser
RChilli resume parser is a scalable parsing solution for an amazing user experience. The resume parser extracts candidate data in 200+ data fields through REST API.
Job Parser
RChilli Job parser 3.1 is an intelligent software that extracts parameters from a Job Description and saves the information in the required attributes already defined.
Search and Match
RChilli Search & Match API allows you to search and match candidates and jobs with great relevancy and accuracy than simple database searching and matching algorithms.
- Search and Match API
  An API (or Application Programming Interface) is the code that allows applications to talk to each other.
  - Search and Match API Authentication
    Search and Match API uses private user key (index key) to authenticate requests. To authenticate the call to an API endpoint, there are only 3 steps:
  - Search and Match Endpoints, Method and Parameters
    The endpoints indicate how you access the resource, while the method indicates the allowed interactions (such as GET, POST, or DELETE) with the resource.
    - Parse and Index
      To search resume's and JD's using RChilli Search and Match API, you require to parse the resume/JD and index them.
    - Simple Search
      The Simple Search API method empowers you to make your document searchable with a string query (must contain entities) without specifying search parameters.
    - Free Text Search
      FreeTextSearch method is used to search random text on the indexed Resume or JD.
    - Boolean Search
      In the boolean (advance) search, unlike simple search, you can customize your search by specifying search entities like - Job Profile, Company, Degree, etc. and apply boolean condition as necessary.
    - Match
      This API finds Resumes/Job Descriptions matching your input documents.
    - Match with ID
      This API finds Resumes/Job descriptions matching your input documents ID's.
    - Skill Gap Analysis
      In a Skill Gap Analysis API call, a JD document is matched with a resume, and it returns the matching and the missing skills in the resume.
    - One To One Match
      This API matches resume with JD or JD with Resume and responds the detailed matching score.
    - Match with Multiple Sub-User Ids
      This API finds Resumes/Job descriptions that matches your input documents and provided sub user ids.
    - Check Document Index
      This API is used to check whether a document is indexed or not with given document ID.
    - Get Document Ids
      This API is used to get all the indexed document ID's.
    - Get Document Detail
      This API is used to get a particular indexed document detail by providing document ID.
    - Delete
      This API is used to delete indexed files, from the database, by providing document ID.
    - Delete All Documents
      This API is used to delete all indexed files from the database based on the API parameter.
    - Analyze
      The Analyze query is an extension of the c_RChilli_search_match_API_Endpoints_simple_search.html. It analyzes the search string and brings out all the search keywords separately for a more refined result of your query in a simple search.
    - Index Count
      This API is used to returns the number of documents indexed for an Index key.
    - Suggestions
      This API is used to returns the suggestions for different search fields like JobProfile, Skill, and Degree.
    - Spell Checking
      If you give any wrong input while searching, this API will check and correct it.
    - Get Sub User Ids List
      This API returns list of all sub user ID's.
- Search and Match Features
  The following topics in this section describe the features of the Search and Match.
- Search and Match 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.
- Search and Match 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.
- Search and Match Error Code
  This topic lists the error codes of Search and Match Error Code.
Taxonomy
RChilli Taxonomy 3.0 offers a comprehensive collection of skills and job profiles, along with their related information.
Resume Redactor API
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, and GeoLocation_plugin.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
This topic describes the transaction cost for using RChilli API and how to subscribe to a new plan or update an existing plan.
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.

Delete

This API is used to delete indexed files, from the database, by providing document ID.

API URL

The Delete API uses the below URL:

https://searchengine.rchilli.com/RChilliSearchEngineAPI/RChilli/delete

API Endpoint

The Delete API uses the below endpoint:

/delete

API Method

The Delete API uses only POST method.

API Request Type

The Delete API uses JSON request type.

API Request Headers


Header	Data Type	Description
Content-Type	string	Indicates the input type of the incoming request body. The only supported value is `application/json`.

API Parameters

To execute Delete API, the following parameters in the JSON request are needed:


Name	Type	Description	Remarks
indexType	String	Type of the file i.e Resume or JD	Required
indexKey	String	Use your user key as shared by RChilli team	Required
subUserId	String	Your user's unique_ID Note: Make sure that there is no space in your subuser_id	Optional
id	StringArray	List of document ID's you want to delete from the indexed database	Required

JSON Request For Delete - Resume

{
  "index": {
    "indexType": "Resume",
    "indexKey": "Your user key",
    "subUserId": "Your user's unique id"
  },
  "query": {
    "id": [
      "1911200457461146","1911200524341134"
    ]
  }
}

JSON Response For Delete - Resume

{
    "status": "200",
    "indexType": "Resume",
    "output": "indexes deleted successfully"
}

JSON Request For Delete - JD

{
  "index": {
    "indexType": "JD",
    "indexKey": "Your user key",
    "subUserId": "Your user's unique id"
  },
  "query": {
    "id": [
      "1911200457461147","1911200524341135"
    ]
  }
}

JSON Response For Delete - JD

{
    "status": "200",
    "indexType": "JD",
    "output": "indexes deleted successfully"
}