Agenta-AI/job_extractor_template

Template for an AI application that extracts the job information from a job description using openAI functions and langchain

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

job_desc.mp4

You can find example inputs under the folder jobdescriptions.