To search Custom Value Documents in the RChilli Search Engine (Search & Match API), follow these structured steps:
1. Index the Custom Documents
Before searching, your custom value documents (like resumes or job descriptions) must be indexed. This means parsing the content and storing it in a searchable format using one of the following:
-
ParseAndIndex
API Endpoint: This combines parsing and indexing in one step.
POST /parseAndIndex
{
"filedata": "{{base64data}}",
"filename": "resume.pdf",
"userkey": "{{your_user_key}}",
"version": "8.0.0",
"subuserid": "{{your_subuser_id}}"
}
You can also use separate Parse and Index API calls if needed.
2. Perform a Search Query
Once your documents are indexed, use the ResumeSearch
or JobSearch
endpoint, depending on whether you are searching resumes or job descriptions.
-
Example for Resume Search:
POST /searchResumes
{
"userkey": "{{your_user_key}}",
"subuserid": "{{your_subuser_id}}",
"searchText": "Java Developer AND New York",
"facets": ["skills", "location", "education"],
"pagination": {
"pageSize": 10,
"pageIndex": 0
}
}
3. Use “Use Your Key” in MyAccount
If you're using RChilli's MyAccount portal and your uploaded documents aren't showing up in search:
-
Go to Integration → Search and Match → Resume Search
-
Click on “Use Your Key” to ensure it’s searching your indexed documents, not demo data
4. Clear Old/Test Data
To remove unwanted or test data:
-
Use the DeleteAllDocuments API to clean your environment before re-indexing new custom documents.
Important Notes
-
Only indexed documents are searchable.
-
Use the correct userkey and subuserid.
-
Make sure your documents were indexed with the same credentials you're using to search.
Need Help?
If you're still facing issues:
-
Email: support@rchilli.com
If you have any questions, you can always contact RChilli support at support@rchilli.com.
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