Extraction of Structured Data from Job Description using OpenAI Functions, Langchain and Agenta

This templates is designed to extracts job information (company name, job
title, salary range) from a job description. It uses OpenAI Functions and
Langchain. It runs with agenta.
Agenta is an open-source LLMOps
platform that allows you to 1) quickly experiment and compare
configuration for LLM apps 2) evaluate prompts and workflows 3) deploy
applications easily.

How to use

0. Prerequisites

Install the agenta CLI
```
pip install agenta-cli
```
Either create an account in agenta cloud or
self-host agenta

1. Clone the repository

git clone https://github.com/Agenta-AI/job_extractor_template

2. Initialize the project

agenta init

3. Setup your openAI API key

Create a .env file by copying the .env.example file and add your openAI
API key to it.

OPENAI_API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxx

4. Deploy the application to agenta

agenta variant serve app.py

5. Experiment with the prompts in a playground and evaluate different variants in agenta

https://github.com/Agenta-AI/job_extractor_template/assets/4510758/30271188-8d46-4d02-8207-ddb60ad0e284

You can find example inputs under the folder jobdescriptions.

README