Project: Job Finder Chatbot with RAG
Project Name
CareerCanvas : Job Finder Chatbot with RAG
Description
Job Finder Chatbot with RAG
Description
The Job Finder Chatbot is a sophisticated application designed to assist users in discovering job opportunities and obtaining detailed information about job roles. By leveraging Retrieval-Augmented Generation (RAG) technology, the chatbot offers tailored job recommendations and accurate answers to questions about job postings. The system integrates advanced tools and services to enhance search efficiency and relevance.
Data Sources and Modifications
Data Sources:
- Azure OpenAI: Utilized for generating embeddings that enhance natural language understanding and improve the accuracy of job recommendations and responses.
- Azure AI Search: Provides vector-based search capabilities to quickly retrieve relevant job postings based on the generated embeddings.
- Azure PostgreSQL Vector Database: Stores job data with vector embeddings, facilitating efficient and effective searching.
Images
Modifications:
- Data Ingestion: Job postings are ingested into the system with embeddings computed using Azure OpenAI. These embeddings are stored in the vector column of the Azure PostgreSQL database for optimized search operations.
- Prompting Flows: Queries made by users are transformed into embeddings by Azure AI Search. This process ensures that the search results are relevant and accurate, based on real-time data and pre-trained models.
Beneficiaries
This application is beneficial for job seekers who want to efficiently find job opportunities that match their skills, experience, and preferences. It is also valuable for individuals seeking detailed information about specific job roles, including qualifications and responsibilities. By providing personalized job recommendations and an intelligent Q&A system, the Job Finder Chatbot helps users navigate the job market more effectively.
Technology & Languages
- [x] JavaScript
- [X] Java
- [ ] .NET
- [X] Python
- [X] AI Studio
- [X] AI Search
- [X] PostgreSQL
- [ ] Cosmos DB
- [ ] Azure SQL
Project Repository URL
https://github.com/shank250/CareerCanvas-msft-raghack/
Deployed Endpoint URL
https://ragcareer.azurewebsites.net/
Project Video
https://youtu.be/xDxHYATp0W4
Team Members
[shank250, vladelets-vselennoy]
👍
Hello @shank250, thank you for participating in RAG Hack!
The team is working hard to distribute badges. Please have each team member fill out this form: aka.ms/raghack/badge-dist
Thank you!
Hello @vladelets-vselennoy,
Unfortunately, there have been some delays with the distribution of badges - we have been having some technical issues. Please resubmit the following form.
Form link: https://aka.ms/raghack/survey
We aim to distribute by the end of this month. Thank you for your patience!