LLM Parser - Azure OPEN AI (Beta)

RChilli provides a resume parsing feature that combines the capabilities of Large Language Models (LLMs) with RChilli technology.

This combination results in a parser that surpasses what can be achieved with each technology alone. The LLM Parser can be activated for individual requests, with an additional cost applied to each transaction where the LLM Parser is enabled.

Note:

All RChilli language supported, see Resume Parser Language Support.
One credit is deducted for each successful transaction. If the transaction fails, parsing is performed using the RChilli Resume Parser.
Error message is returned if LLM parser fails to process the resume.

Pros of Using LLM Parsing

Text extraction, its accuracy is generally higher than that of the standard parser, mitigating potential inaccuracies.
Data Normalization
Data enrichment for Skill and Job taxonomies

Limitation of Using LLM Parsing

Expect slightly slower response times with the LLM Parser.
The LLM Parser can produce information that is factually incorrect or misleading, including plausible but false information.
In rare cases, the LLM Parser may encounter errors or take longer than 60 seconds to respond. In such situations, the system automatically switches to the standard RChilli parser, though the add-on credits for LLM parsing still apply.
Normalizing descriptions of local and international degrees.
Analyzing raw educational text on an individual basis.
Evaluating individual job position descriptions.

Procedure to Enable LLM Parsing

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.
Once you login to the My Account, click Market Place tab.
Note: You can also visit https://marketplace.rchilli.com/workflow to access Enrichment Marketplace.
On the Enriched Marketplace, search for LLM Parser and click RChilli LLM Parser - Azure OPEN AI (Beta).
Note: Make sure you have already Login to your account.
Enter the your Open AI details as mentioned on the RChilli LLM Parser Azure OPEN AI Beta page and click Active at the bottom of the page to activate the LLM Parser. See next step on how to get the Open AI details.
- To create Azure API keys, refer Azure documentations, for reference Create and deploy an Azure OpenAI Service resource and How to set up and configure a GPT deployment .
- Visit Azure Portal and open your created resource.
- Click Key and Endpoint under Resource Management. Share Key 1 and Endpoint URL details with support@rchilli.com.
  Note: For each successful transaction, 1 credit is deducted. In cases LLM parser fails to process the request, the resume will instead be processed using the RChilli Parser.

Result

Once the RChilli LLM Parser Azure OPEN AI Beta workflow is activated successfully, then resume is processed by the LLM Parser.

Upload and parse a resume after you activated RChilli LLM Parser Azure OPEN AI Beta workflow in the Enrichment Marketplace. For more detail on how to upload and parse a resume in my account, refer Parse Resume in My Account.
Click Response JSON tab, search for the CustomFields to view the source of the resume parser, it is LLM_AAI if the resume processed via LLM parser - Azure Open AI.
Note: In cases LLM parser fails to process the request, the resume will instead be processed using the RChilli Parser and the error message is displayed at the bottom of the response.