Project: Job Finder Chatbot with RAG

[shank250]

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:

1. Azure OpenAI: Utilized for generating embeddings that enhance natural language understanding and improve the accuracy of job recommendations and responses.
2. Azure AI Search: Provides vector-based search capabilities to quickly retrieve relevant job postings based on the generated embeddings.
3. 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]

[vladelets-vselennoy]

👍

[multispark]

Hello @shank250, thank you for participating in RAG Hack!

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