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. It filters resume data according to global industry-standard ontologies and taxonomies. You can search resume or JD based on your search keyword out of the total resumes and JDs indexed. And also, find resumes/jobs matching your input documents. The lightning-fast cluster computing technology of Search & Match Engine 3.0 will help you get the perfect candidate through normalized and enriched data e.g., skills/ competency, domain, location, education, city, company, and job title.
(a) Job to Jobs: It brings similar job recommendations matching a specific job position.
(b) Job to Resumes: It brings more candidate recommendations for a job position.
(c) Resume to Jobs: It brings more job recommendations to the candidate.
(d) Resume to Resumes: It brings similar candidate recommendations matching a specific resume.
Get quality of search with a click
Provides appropriate matched documents based on search keywords
Save time from searching by up to 90%
Users can use this to convert any search string to qualified search query by tagging location, company, skill, job profile, experience level, degree, language etc.
Through this, the users can get a more refined result of their query in a simple search.
Broaden the scope of
search capabilities
Provides flexibility in
searching by specifying
required/optional search
parameters
Enhance user
experience by up to 92%
This use-case helps users to find perfect candidates easily for their job openings.
Filters and Facets are two ways to help users refine their query and discover more about the search.
Get perfect candidates
who match your criteria
Easily find the best fit
through job title, location,
education, skill mapping,
and domain
Get perfect candidates
similar to the searched
candidates within a second
De-duplication in RChilli Search & Match Engine 3.0, helps users to avoid indexing duplicate records in search engine.
Provide duplicate check
on your data
Restrict to index duplicate
data
Update existing records
in indexed documents
+1-877-5-PARSER
+1-877-572-7737